ABOUT ME
- ML / Data Scientist with experience in building and scaling Machine Learning and Analytics solutions for E-commerce & Physical Retail, Advertising-based Video On Demand (AVOD), Healthcare and Digital Payments
- Result oriented and proactive in proposing and developing robust ML / Analytics solutions for business problems
- And presenting to stakeholders in a simplified way to drive quantifiable improvements in business metrics
- EDUCATION - Bachelors, BITS Pilani & Masters, University of Minnesota
SKILLS
- Supervised ML - Regression, Classification, Forecasting, Recommender Systems
- Unsupervised ML - Clustering, Anomaly Detection, Similarity Matching
- Statistical Inference - Estimation, Hypothesis Testing, Explanatory Modeling
- Metrics & Controlled Experiments
- Deep Learning
TOOLS
- Data Science - Python, R, Scala, Hadoop, Spark, SQL, Hive, RShiny, PyTorch, Scikit-Learn
- DevOps - Unix, AWS (Redshift, Lambda, EC2, Sagemaker, Step Function, Cloud Formation), Oozie
RESUME
GITHUB </>
[1] Anti Money Laundering (AML) / Fraud Detection [Link]
[2] Built an NLP model of vocab/semantics to detect sarcasm in news headlines with Python, NLTK & Word2Vec [Link]
[3] Time Series Forecasting with Exogenous Features [Link]
[4] Tennis player recognizer with resnet34 CNN architecture in Fast.Ai and transfer learning [Link]
[5] Performed real time analysis of players’ popularity using Twitter streaming API, PySpark, Python and Plotly [Link]
[6] Built a football news aggregator by web-scraping articles’ titles, dates and links from multiple sports websites [Link]
[7] RShiny App for Video Games / Movies / TV Shows [Link]
[8] Deep Learning [Link]
[9] Recommender System for Movies with Collaborative Filtering, Matrix Factorization & Deep Learning [Link]
CERTIFICATIONS
[1] Deep Learning Specialization
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
[2] DevOps on AWS: Code, Build, and Test
[3] DevOps on AWS: Release and Deploy
[4] DevOps on AWS: Operate and Monitor
[5] SAS Certified Base Programmer for SAS 9
[6] Python OOP - Object Oriented Programming for Beginners
[7] Apache Spark with Scala - Hands On with Big Data!
[8] PyTorch: Deep Learning and Artificial Intelligence
[9] Building Recommender Systems with Machine Learning and AI