rahul_raghatate

rahul_raghatate

Hackathons
6912
Rank
0
Points
Participated in The Strategic Ball
Participated in SVM Skilltest
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in The Strategic Saviour
Participated in Big Mart Sales Prediction
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in #AVdatafest: The Strategic Thor
Participated in #AVdatafest SkillPower: Deep Learning
Participated in #AVdatafest Rise of the Hero: Write Your Story
Participated in Loan Prediction
Participated in Black Friday Sales Prediction
Participated in The Strategic Monk
Participated in Skilltest: Machine Learning
Participated in Skilltest: Ensemble Modeling
Participated in #AVdatafest SkillPower: Probability
Participated in #AVdatafest PowerTool: R for Data Science
Participated in Age Detection of Actors
Participated in Practice Problem: Urban Sound Classification
Participated in Data Science Hackathon: Churn Prediction
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Identify the Digits (MNIST)
Participated in Time Series Forecasting
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in #AVdatafest SkillPower: Time Series
Participated in #AVdatafest The Mightiest Pen : Blogging Competition
Participated in Skilltest: Image Processing
Participated in Data Science Interview Preparation Test
Participated in McKinsey Analytics Online Hackathon
Participated in Skilltest: Regression
Participated in #AVdatafest PowerTool: Python for Data Science
Participated in #AVdatafest SkillPower: Machine Learning
Participated in ABInBev : Data Engineering Talent Hunt Hackathon

Experience

Designation Data Analytics Consultant
Company The Harlem Bee
Duration None - Present
Job Profile • Conducting analysis and predictive modeling of NYC public datasets in Python. • Providing classification, pattern recognition, forecasting based meaningful discoveries at requisite depth for multi-domain business development in Harlem and seed funding improvement by approx. 15%.
Designation Data Specialist
Company IBM
Duration None - None
Job Profile • Using Agile Methodology developed returned/exchanged orders application in Abinitio and Teradata overcoming 85% order misclassification and 10% data leakage. • Performed requirement analysis, designed modules, wrapper scripts using UNIX and SQL for BI report generation. • Conducted root cause analysis to resolve QA issues in multiple applications in coordination with Vodafone’s BI analysts. • Implemented ETL mapping, parallelism, data checks, fault tolerance techniques through Abinitio graphs and database objects (tables, views) in Teradata and Oracle DB ensuring overall EDW integrity.
Designation Graduate Research Assistant
Company Indiana University
Duration None - Present
Job Profile • Under the supervision of Prof. D. Williamson, implementing deep neural networks(DNNs) based speech separation and speaker recognition system using matlab, python, and tensorflow. • Preprocessing co-channel signals for noise reduction using complex ratio masking, then frame level log-spectral features as input and true speaker identities as training targets. • Also, using the ideal binary mask for frame level energy calculation of each speaker from the mixture cochleagram and to use their ratio for the soft labels in softmax output layer.