Abhishek Mamidi
Senior Data Scientist
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAbhishek Mamidi is a Senior Data Scientist with 9 years of experience and an MTech, known for designing and shipping scalable AI systems across AdTech, demand forecasting, pharma and airlines. At Swiggy he led end-to-end solutions—from unconstrained demand estimation to ads bidding frameworks and delivery-fee optimization—earning multiple internal awards for measurable revenue and CX impact. He combines solid ML engineering (PySpark, Dask, TensorFlow, Transformers) with practical experimentation and monitoring practices, and has built client-facing products at ZS around targeting, churn and resource optimization. A practitioner of both classical models (XGBoost, LightGBM, causal ML) and generative/LLM tooling (LangChain, Transformers), he focuses on production readiness and stakeholder-driven metrics. Outside work he shares learnings via a data science blog and YouTube channel, illustrating a commitment to teaching and community engagement.
9 years of coding experience
7 years of employment as a software developer
Master of Technology - MTech Data Science and Engineering, Master of Technology - MTech Data Science and Engineering at Birla Institute of Technology And Science (BITS), PilaniBachelor of Technology - BTech (Hons.) ECE, Bachelor of Technology - BTech (Hons.) ECE at Indian Institute of Information Technology, SriCityIntermediate, Intermediate at Ascent Junior College, Visakhapatnam, A.PTenth, Tenth at Bhashyam College of Education (BCE), Guntur
Telugu, English, Hindi
Github Skills (44)
googlenet10
corner-detection10
classifiers10
lstm10
knn-classification10
transfer-learning10
youtube9
svm9
machine-learning9
time-series9
image-stitching9
deep-learning9
computer-vision8
django-project8
python8
Programming languages (3)
Github contributions (5)
Abhishekmamidi123/NoteKeeper-app
Dec 2017 - Jan 2018
Contributions:26 commits, 26 pushes, 1 branch in 14 days
Abhishekmamidi123/Time-Series-Forecasting
Oct 2018 - Apr 2019
Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
Contributions:87 commits, 71 pushes, 1 branch in 5 months
time-seriestime-series-analysisanalysisannseries-forecasting
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