Samriddhi khare profile photo 1 on Tal

Samriddhi khare

Manager 1, Operations @Amazon | Data Science , Data Analyst & Operations | Amazon · Fractal | ML · SQL · Forecasting | Kaggle Expert | NIT Raipur ’26

Banda

1+ year of work experience

Amazon
Jul 20262 mosPresent

Amazon
Jan 20266 mosJun 2026

Recieved PPO [Pre Placement Offer] • Identified inefficiencies in outbound operations through data driven techniques and by performing root cause analysis. • Built Python scripts and Tampermonkey automations to eliminate manual reporting work on the floor • Tracked metrics like throughput and headcount utilization to drive data-backed decisions.
Amazon
Aug 20252 mosSep 2025

• Selected among 3,000+ applicants nationwide for a competitive machine learning training program conducted by Amazon • Gained hands-on understanding of key ML concepts including supervised learning, model evaluation, bias-variance tradeoff, and feature engineering • Worked on practical assignments involving data preprocessing, model building, and performance evaluation using Python and Scikit-learn
Fractal
May 20253 mosJul 2025

Gurugram, Haryana, India

Received PPO [ Pre Placement Offer ] • Built a univariate demand forecasting pipeline (O&R) for a global alcohol brand, applying KNN imputation, Box-Cox transformation, and outlier treatment across 24 months of historical data • Reduced model selection time by ~30% by systematising MAPE-based evaluation across multiple forecasting approaches, enabling faster client-facing iteration • Delivered Power BI dashboards used by the client team to track forecast accuracy week-over-week, replacing manual reporting that previously took 4 hours per cycle
Data Avengers
Mar 20255 mosJul 2025

• Completed a 20-week structured data science program covering EDA, feature engineering, machine learning, and model evaluation techniques • Built multiple end-to-end projects including NLP-based classification and customer segmentation using clustering algorithms • Strengthened hands-on experience with Python, Pandas, Scikit-learn, and data visualization tools through practical implementations

Samriddhi’s AI Stack

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Education

National Institute of Technology Raipur

National Institute of Technology Raipur

20224 yrs2026

St. Mary's Senior Secondary School Banda

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Headline

Manager 1, Operations @Amazon | Data Science , Data Analyst & Operations | Amazon · Fractal | ML · SQL · Forecasting | Kaggle Expert | NIT Raipur ’26

About

Hi, I'm Samriddhi khare : just finished my B.Tech from NIT Raipur this June 2026. Spent the last two years interning across data and operations. At Fractal Analytics I built forecasting models and got MAPE down. At Amazon I worked in operations, found process gaps and automated things Received PPOs (Pre Placement Offers )from both ✨ Along the way: → Selected for Amazon ML Summer School 2025 (top ~3,000 of 60,000+ applicants) → Kaggle Expert — not just a badge, I actually compete → National Finalist, TVS Eurogrip Torque Challenge 3.0 (top ~15 teams nationally) → AIR 16 - ZS CAMPUS BEATS 2025 → Built an NLP-based Reddit moderation classifier (F1: 0.72) and a Starbucks customer segmentation model from scratch → 5-star SQL on HackerRank → GPA: 8.57 | Class XII: 95.6% My stack: Python · SQL · Machine Learning · NLP · Power BI · Scikit-learn · Pandas · Forecasting If you're hiring for data science, operations analytics, or program management roles for 2026 , or if you want to swap notes on ML, case competitions, or Kaggle , send me a DM. Let's build something useful.

Location

Banda

AI stack

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Work experience

Operations Manager-I at Amazon, Jul 2026 - Present · 2 mos

Manager Ops Intern at Amazon, Jan 2026 - Jun 2026 · 6 mos, Recieved PPO [Pre Placement Offer] • Identified inefficiencies in outbound operations through data driven techniques and by performing root cause analysis. • Built Python scripts and Tampermonkey automations to eliminate manual reporting work on the floor • Tracked metrics like throughput and headcount utilization to drive data-backed decisions.

Amazon ML Summer School Mentee at Amazon, Aug 2025 - Sep 2025 · 2 mos, • Selected among 3,000+ applicants nationwide for a competitive machine learning training program conducted by Amazon • Gained hands-on understanding of key ML concepts including supervised learning, model evaluation, bias-variance tradeoff, and feature engineering • Worked on practical assignments involving data preprocessing, model building, and performance evaluation using Python and Scikit-learn

Project Intern at Fractal, May 2025 - Jul 2025 · 3 mos, Gurugram, Haryana, India, Received PPO [ Pre Placement Offer ] • Built a univariate demand forecasting pipeline (O&R) for a global alcohol brand, applying KNN imputation, Box-Cox transformation, and outlier treatment across 24 months of historical data • Reduced model selection time by ~30% by systematising MAPE-based evaluation across multiple forecasting approaches, enabling faster client-facing iteration • Delivered Power BI dashboards used by the client team to track forecast accuracy week-over-week, replacing manual reporting that previously took 4 hours per cycle

Data science fellowship at Data Avengers, Mar 2025 - Jul 2025 · 5 mos, • Completed a 20-week structured data science program covering EDA, feature engineering, machine learning, and model evaluation techniques • Built multiple end-to-end projects including NLP-based classification and customer segmentation using clustering algorithms • Strengthened hands-on experience with Python, Pandas, Scikit-learn, and data visualization tools through practical implementations

Education

National Institute of Technology Raipur

St. Mary's Senior Secondary School Banda