35 Companies hired Best Data Science Brains

Placement: PharmEasy as Data Scientist

Projects: Participated in Analytics Vidhya Machine Learning skill test, Regression skilltet, Titanic dataset on kaggle.

Placement: Fractal Analytics

Project: Black Friday,Churn Prediction,Critical Evaluation of financial Performance of 5 FMCG Company,Market Segment,Predicting the Quality of Wine,Customer Sales Analysis,NSE Stock Data analysis

Placement: Cybage Software as Senior Sotware Engineer

Project: 1. Data Analysis of all products & calculation of total sales using Python & Hadoop. 2. Reduction in rejection rate of Vision Inspection Systems (IntraVis). 3. Reduction in rejection rate of Pharma Zone-2. 4. Shift wise stock maintenance of SAP for Pharma Zone-2.

Placement: Hansa Cequity as Associate Analyst

Placement: Ecelrx as Analyst ML

Placement: Atos India as System Analyst

Project: 1.Predicting Medical Expense in R with insurance dataset 2.wine data set exploring the quality of wine with linear regression model. 3.Cancer prediction using logistic regression. HACKATHON-Analytics vidhya—> 1) Strategic Monk – Rank – 198. 2) Tree Based Algorithm – Rank – 116.

Placement: PharmEasy as Data Scientist Project: Participated in Analytics Vidhya Machine Learning skill test, Regression skilltet, Titanic dataset on kaggle.

Internship: Pentation Analytics as Data Science Intern

Project: 1. Assignment on predicting medical expenses using Linear Regression for Insurance Data-set on R. 2. Assignment on improving the Published Relative Performance of CPU Data-set using Linear Regression on R. 3. Assignment on predicting Tumor using Logistic Regression on R. 4. Assignment on Churn Prediction of Telecom Industry using Logistic Regression on R. 5. Assignment and Project Report on predicting wine quality from the Wine Data-set using Linear Regression on R. 6. Assignment on predicting wine quality from the Wine Data-set using K-Nearest Neighbor and Condensed Nearest Neighbor on R.

Internship: Kaara Info Systems as Data Science Intern

Project: 1. Assignment on predicting medical expenses using Linear Regression for Insurance Data-set on R. 2. Assignment on improving the Published Relative Performance of CPU Data-set using Linear Regression on R. 3. Assignment on predicting Tumor using Logistic Regression on R. 4. Assignment on Churn Prediction of Telecom Industry using Logistic Regression on R. 5. Assignment and Project Report on predicting wine quality from the Wine Data-set using Linear Regression on R. 6. Assignment on predicting wine quality from the Wine Data-set using K-Nearest Neighbor and Condensed Nearest Neighbor on R

Internship: Mirraw as Data Science Intern

Project: B.E. Projects, 1)Performance Analysis of a Solar Parabolic Trough Collector and its efficiency improvement. 2)Development of a Self Cleaning and Energy saving glass using multilayered nano-composite structure.

Internship: Free a Billion as Data Science Intern

Project: Member of the products team for Airtel 56789. STK Dictionary , Vodafone (Pan India)

Internship: Exponentia Data Labs as Data Science Intern

Project: Creating a Spam Filter,Analysis of Red Wine Quality, Classification of Glass Types.

Internship: Fractal Analytics as Intern

Project: Black Friday,Churn Prediction,Critical Evaluation of financial Performance of 5 FMCG Company,Market Segment,Predicting the Quality of Wine,Customer Sales Analysis,NSE Stock Data analysis

Placement: Cybage Software as Senior Sotware Engineer

Project: 1. Data Analysis of all products & calculation of total sales using Python & Hadoop. 2. Reduction in rejection rate of Vision Inspection Systems (IntraVis). 3. Reduction in rejection rate of Pharma Zone-2. 4. Shift wise stock maintenance of SAP for Pharma Zone-2.

Placement: Cybage Software as Software Engineer

Project: Churn Prediction, Loan Prediction, Mutual fund Rank analysis, Predicting the quality of wine, Customer Segmentation, Credit Risk analysis, Breast Cancer Prediction, Titanic Data Set

Internship: Open Insights as Data Science Intern

Internship: Dexlock, Kochi as Intern

Project: Lead Engineer (US Health and Welfare Insurance, Defined Benefit ,Defined Contribution) • Responsible for gathering requirements and designing the specs. • Collecting, collating and carrying out data analysis reports to clients, work colleagues and senior managers. • Learned the System Architecture directly from the US counter parts and transitioned the it to rest of the offsite team. • Worked closely with project stake holders, SMEs to understand the requirements and specifications for new applications along with re-engineering the existing applications. • Reviewed documentation, peer code and conducted code walkthroughs. • Resolved issues and provided on-call support regarding production system. • Responsible for implementing new ad-hoc reports and ensure the optimal performance. • Consolidate the project status and report to onsite manager.

Internship: Open Insights as Data Science Intern

Project: 1.Loan Prediction problem(Analytics Vidhya): rank 273/759 2. Big mart sales Prediction problem (Analytics Vidhya): rank 160/435 3.BVoIP Tier-III project at CenturyLink Technologies 4.Building infrastructure, School Operations and Management for Sheikh-ul-Aalam public School

Internship: Cosmodea Digital Services as Data Science Intern

Qualification: B.Tech in Mineral Engineering & M.Tech in Mineral Resource Management(IIT DHANBAD)

• Internship: Pentation Analytics as Data Science Intern

Internship: Kaara Info Systems as Data Science Intern

Internship: Bayer Group in India as Intern

Placement: Atos India as System Analyst

Project: 1.Predicting Medical Expense in R with insurance dataset 2.wine data set exploring the quality of wine with linear regression model. 3.Cancer prediction using logistic regression. HACKATHON-Analytics vidhya—> 1) Strategic Monk – Rank – 198. 2) Tree Based Algorithm – Rank – 116.

Internship: PCT, London as Data Science Intern

Project: User Base Prediction for mobile payment app Onescan which is powered by QR code technology.

Placement: Hansa Cequity as Associate Analyst

Project: Weather forecasting using R. Predicting Medical Expense in R with insurance data set. Exploring the quality of wine with linear regression model in R.

Internship: Cosmodea Digital Services as Data Science Intern

Project: Wine Quality Cancer Dataset kNN-Classification kNN-Breast Cancer Dataset Stock Price Analysis Medical Expenses CPU Performance Dataset

Internship: Edelweiss as Data Science Intern

Project: 1. HSBC Core Compliance 14.2, 15.1 and 15.2, Capgemini Ind Pvt Ltd September 2013-Aug 2015 As a senior software engineer , ensured that the rules imposed by networks MasterCard , Visa and Amex get reflected in the HSBC core banking system. 2. CITI Asia-Pacific Promontory, Capgemini Ind Pvt Ltd September 2015 to December 2015 As a Business Analyst, project involved providing solutions to design team, coordinating between business side and design team, creating FRs for business requirement. 3. First Data Corporation – Big 10 , Capgemini India Pvt Ltd January 2016 to May 2016, The project involved analyzing the previous codes, and incorporating the changes on GUI level.

Internship: Open Insights as Data Science Intern

Project: Measurement of Wine quality | R Chances of Breast Cancer | R Performance of Cpu |R Titanic Dataset | R Predicting Medical Expenses | R

Placement: Cybage Software as Sotware Engineer

Project: Using Machine Learning Algorithms developed a Recommendation Engine Model to recommend suitable jobs to the applicants of a job portal. Loan Prediction problem in Analytics Vidhya blog. submitted an article on “Use case of Big Data in agriculture” in Analytics Vidhya as a part of Blogathon competition. Developed an Excel File for streamlining , analyzing and understanding the tendering, assessing and procurement of Materials for Railway Construction Projects for my previous employer M/s L&T Construction.

• Internship: Open Insights as Data Science Intern

  Project: Mutual Fund Analysis and their Ranking, NSE Stock data analysis using Hadoop, Telecom Customer Churn Prediction, Loan Prediction, Predicting wine quality, Predicting medical expenses from insurance data, Cusumer Segmentation, Financial Performance Analysis of 5 Listed FMCG companies.

Internship: Kryptoblock as Intern

• Internship: Kryptoblock as Intern

• Internship: Cuddle AI (Fractal) as Intern

  Project: I have been working on small assignments to learn the concepts of analysis using Machine Learning, R, Statistics and Python.

Internship: Farebond as Data Science Intern

Project: Wine Quality Analysis, Social Network Site Analysis, Breast Cancer Prediction, Market Segmentation, CPU Performance Analysis

 

• Internship: Pentation Analytics as Data Science Intern

  Project: From period 10/2006 until 01/2010, played the role of a Software Engineer which consisted of SDLC. Worked on projects for insurance clients like Metlife and Guardian. From period 07/2015 until 06/2016, played the role of a Technical HR Recruiter for Business Intelligence and Analytics Business Unit

 

Placement: Ecelrx as Analyst ML

• Internship: Kryptoblock as AI Intern

  Project: 1. Analyzing Performance of CPU 2. Classifying Spam Database 3. Classifying Cancer Data Set 4. Analyzing quality of Wine

• Internship: Kryptoblock as AI Intern

  Project: 6)Classifying whether tumor is Malignant or Benign. 5)Classifying whether email is Spam or not. 4)Predicting Cancer 3)Predicting Quality of Wine 2)Predicting Medical Expenses 1) Improving PAPR & BER of OFDM by weighted signal scheme.

• Placement: Big Tapp India as Data Analyst

  Project: Worked on Service Managment Platform for a client Saudi Telecommunications as JAVA Developer. Responsibilities • Analysis and initial study on the work request (enhancement/development). • Design the activities to be done on the work request (enhancement/development) by creating Detailed design Documents. • Developed workflows for automatic troubleshooting. • Developed Network map for a customer.

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