suhas jk

data scientist

Bangalore, India

Summary

machine learning, python, sql, tableau,

Languages:

English, Hindi, Kannada, Tamil, Telugu

Experience

SUHAS JK Mobile: 9036810804

Email: suhas.datascience@gmail.com

Objective:

To seek challenging assignment and responsibility, with an opportunity for growth and career advancement as successful achievements.

Professional Skill Set:

• Competent and techno-savvy IT professional, having 6+ Years of experience in IT industry.
• Experience in using Machine learning techniques(Regression): Simple Linear Regression,Multiple Linear Regression ,Polynomial Regression ,Support Vector Regression (SVR) ,Decision Tree Regression ,Random Forest Regression using Python.
• Experience in using Machine learning techniques(Classification): Logistic Regression,K-Nearest Neighbors (K-NN) ,Support Vector Machine (SVM) ,Kernel SVM ,Naive Bayes ,Random Forest Classification using Python.
• Evaluating Regression Models Performance
• Experience in working with Text Analytics, Predictions with Python NLTK and Scikit -Learn modules.
• Evaluating Classification Models Performance
• Experience in Machine learning and its libraries like Pandas,Matplotlib, Scikit-Learn, Numpy, NLTK etc.
• Experience in Tableau (involved in the complete lifecycle implementation and Analytics)
• Experience in Clustering techniques(K-Means and Hierarchical), Association Rule learning(Apriori),Reinforcement Learning(UCB and Thompson sampling).
• Experience in Deep Learning(Neural Networks and Convolutional Neural Networks)
• Experience in Natural Language Processing(Text Classification and Sentimental Analysis)
• Experience in PCA,LDA(Principal Component Analysis and Linear Discriminant Analysis) and Kernel PCA.
• Experience in Model Selection and Boosting(K-Fold Cross Validation,Grid Search,XGBoost)
• Have good Knowledge in Apache Spark,R- programming.

Highlights:

Data Preprocessing for Algorithm , Regression , Classification , Clustering , Association Rule Learning , Reinforcement Learning , Natural Language Processing , Deep Learning , Dimensionality Reduction , Model Selection & Boosting , Machine Learning on Big Data ,Data mining, cleaning, and imputing, principal component analysis, statistical data modeling,Pattern recognition,forecasting,classification,clustering,regression/fitting,Greedy algorithms, efficient data structures, dynamic programming,Parallel computing, High-Throughput Computing, computing clusters and grids.

Education Summary:

Bachelor Of Engineering in Computer Science from Sapthagiri College Of Engineering(2006-2010),Bangalore.

Technical Skills:

• Python :numpy, pandas,scikit-learn
• Unix shell scripts
• Cloud,Tableau
• PostgreSql,MySql,NewSql(Voltdb),Apache Quarks,Hbase
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Work closely with management to prioritize business and information needs
• Identify, analyze, and interpret trends or patterns in complex data sets

Familiar:

Experience Summary:

Company 1: (Current company)

Terra Blue PvtLtd, Bangalore

Time Period: November 2016 to till now

Designation: Member of Technical Staff II

Project Title:

TJay is the Healthcare IOT device building for pre prediction of Neurological disorders.With this wearable device , the doctors can monitor the patients data/history remotely, so that doctors can guide the way to create the wellness and happiness in the patients life.

Job Responsibilities:

Research and implement classification algorithms for detection of epileptic seizures using physiological time-series datacollected from wearable sensors. Improved upon the accuracy of existing algorithms by incorporating non-linear and chaotic features Implemented algorithms for peak detection and artifact removal. As a part of a team, designed and implemented a real-time machine learning framework for human emotional state/activityrecognition. Mentor budding data scientists.

Company 2:

Aegis Global PvtLtd,Bangalore

Time Period: March 2016 to September 2016.

Designation: Assistant Manager Technology

Project Title:

Predicting Customer behavior for Industry Leading Automobile Company.Service is a series of maintenance procedures carried out at a set time interval or after the vehicle has traveled a certain distance. The service intervals are specified by the vehicle manufacturer in a service schedule and some modern cars display the due date for the next service electronically on the instrument panel. We need to predict whether customer will come to next service or not and also what are the problems most likely vehicle might have.

Job Responsibilities:

Company 3:

IPSoft Global Services PvtLtd,Bangalore

Time Period: July 2015 to March 2016

Designation: Systems Engineer

Project Title:

Predicting Customer behavior of Courier Service.Customer Analytics have become a vital tool for success used to glean important information,anticipate customer behavior , and drive loyalty. With growing competition in shipping market companies needs to focus on Customer behavior to understand customer requirements and needs.

Job Responsibilities:

Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems

Company 4:

Optime Info Services Pvt Ltd, Bangalore

Time Period: July 2011 to July 2015

Designation: Senior Software Engineer

Project Title:

Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop a new pricing strategy for Total Jeans that boosted margins by 2 percent and analyzed customer buying habits which correctly predicated the resurgence of dark blue denim giving us a jump on the competition

Job Responsibilities:

Analyze large datasets to provide strategic direction to the company. Perform quantitative analysis of product sales trends to recommend pricing decisions. Conduct cost and benefit analysis on new ideas. Scrutinize and track customer behavior to identify trends and unmet needs. Develop statistical models to forecast inventory and procurement cycles. Assist in developing internal tools for data analysis
Project Title: Citrix Cloud Job Responsibilities:

• Supporting and troubleshooting Customer issues.
• Installing, publishing, configuring business applications as per customer requirement.
• Involved in Upgradation activities from Xenserver 6.0/6.2 to 6.5.
• Involved in Live migration of VMs between the Hosts without affecting VMS during production hours.
• Upgradation of firmware for dell and hp servers using ILO(Integrated Lights Out) and IDRAC.(Integrated Dell Remote Access Controller)
• Analysing the Customer issues in depth, when the VMs went to Unregistered state.
• Installing Hotfixes, Rollup Pack Updates on the Servers.

Date : JAN 03 2018

Place : Bangalore SUHAS JKSUHAS JK Mobile: 9036810804

Email: suhas.datascience@gmail.com

Objective:

To seek challenging assignment and responsibility, with an opportunity for growth and career advancement as successful achievements.

Professional Skill Set:

• Competent and techno-savvy IT professional, having 6+ Years of experience in IT industry.
• Experience in using Machine learning techniques(Regression): Simple Linear Regression,Multiple Linear Regression ,Polynomial Regression ,Support Vector Regression (SVR) ,Decision Tree Regression ,Random Forest Regression using Python.
• Experience in using Machine learning techniques(Classification): Logistic Regression,K-Nearest Neighbors (K-NN) ,Support Vector Machine (SVM) ,Kernel SVM ,Naive Bayes ,Random Forest Classification using Python.
• Evaluating Regression Models Performance
• Experience in working with Text Analytics, Predictions with Python NLTK and Scikit -Learn modules.
• Evaluating Classification Models Performance
• Experience in Machine learning and its libraries like Pandas,Matplotlib, Scikit-Learn, Numpy, NLTK etc.
• Experience in Tableau (involved in the complete lifecycle implementation and Analytics)
• Experience in Clustering techniques(K-Means and Hierarchical), Association Rule learning(Apriori),Reinforcement Learning(UCB and Thompson sampling).
• Experience in Deep Learning(Neural Networks and Convolutional Neural Networks)
• Experience in Natural Language Processing(Text Classification and Sentimental Analysis)
• Experience in PCA,LDA(Principal Component Analysis and Linear Discriminant Analysis) and Kernel PCA.
• Experience in Model Selection and Boosting(K-Fold Cross Validation,Grid Search,XGBoost)
• Have good Knowledge in Apache Spark,R- programming.

Highlights:

Data Preprocessing for Algorithm , Regression , Classification , Clustering , Association Rule Learning , Reinforcement Learning , Natural Language Processing , Deep Learning , Dimensionality Reduction , Model Selection & Boosting , Machine Learning on Big Data ,Data mining, cleaning, and imputing, principal component analysis, statistical data modeling,Pattern recognition,forecasting,classification,clustering,regression/fitting,Greedy algorithms, efficient data structures, dynamic programming,Parallel computing, High-Throughput Computing, computing clusters and grids.

Education Summary:

Bachelor Of Engineering in Computer Science from Sapthagiri College Of Engineering(2006-2010),Bangalore.

Technical Skills:

• Python :numpy, pandas,scikit-learn
• Unix shell scripts
• Cloud,Tableau
• PostgreSql,MySql,NewSql(Voltdb),Apache Quarks,Hbase
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Work closely with management to prioritize business and information needs
• Identify, analyze, and interpret trends or patterns in complex data sets

Familiar:

Experience Summary:

Company 1: (Current company)

Terra Blue PvtLtd, Bangalore

Time Period: November 2016 to till now

Designation: Member of Technical Staff II

Project Title:

TJay is the Healthcare IOT device building for pre prediction of Neurological disorders.With this wearable device , the doctors can monitor the patients data/history remotely, so that doctors can guide the way to create the wellness and happiness in the patients life.

Job Responsibilities:

Research and implement classification algorithms for detection of epileptic seizures using physiological time-series datacollected from wearable sensors. Improved upon the accuracy of existing algorithms by incorporating non-linear and chaotic features Implemented algorithms for peak detection and artifact removal. As a part of a team, designed and implemented a real-time machine learning framework for human emotional state/activityrecognition. Mentor budding data scientists.

Company 2:

Aegis Global PvtLtd,Bangalore

Time Period: March 2016 to September 2016.

Designation: Assistant Manager Technology

Project Title:

Predicting Customer behavior for Industry Leading Automobile Company.Service is a series of maintenance procedures carried out at a set time interval or after the vehicle has traveled a certain distance. The service intervals are specified by the vehicle manufacturer in a service schedule and some modern cars display the due date for the next service electronically on the instrument panel. We need to predict whether customer will come to next service or not and also what are the problems most likely vehicle might have.

Job Responsibilities:

Company 3:

IPSoft Global Services PvtLtd,Bangalore

Time Period: July 2015 to March 2016

Designation: Systems Engineer

Project Title:

Predicting Customer behavior of Courier Service.Customer Analytics have become a vital tool for success used to glean important information,anticipate customer behavior , and drive loyalty. With growing competition in shipping market companies needs to focus on Customer behavior to understand customer requirements and needs.

Job Responsibilities:

Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems

Company 4:

Optime Info Services Pvt Ltd, Bangalore

Time Period: July 2011 to July 2015

Designation: Senior Software Engineer

Project Title:

Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop a new pricing strategy for Total Jeans that boosted margins by 2 percent and analyzed customer buying habits which correctly predicated the resurgence of dark blue denim giving us a jump on the competition

Job Responsibilities:

Analyze large datasets to provide strategic direction to the company. Perform quantitative analysis of product sales trends to recommend pricing decisions. Conduct cost and benefit analysis on new ideas. Scrutinize and track customer behavior to identify trends and unmet needs. Develop statistical models to forecast inventory and procurement cycles. Assist in developing internal tools for data analysis
Project Title: Citrix Cloud Job Responsibilities:

• Supporting and troubleshooting Customer issues.
• Installing, publishing, configuring business applications as per customer requirement.
• Involved in Upgradation activities from Xenserver 6.0/6.2 to 6.5.
• Involved in Live migration of VMs between the Hosts without affecting VMS during production hours.
• Upgradation of firmware for dell and hp servers using ILO(Integrated Lights Out) and IDRAC.(Integrated Dell Remote Access Controller)
• Analysing the Customer issues in depth, when the VMs went to Unregistered state.
• Installing Hotfixes, Rollup Pack Updates on the Servers.

Date : JAN 03 2018

Place : Bangalore SUHAS JK

Skills

Artificial Intelligence (AI), Machine Learning, MySQL, Natural Language Processing, PostgreSQL