---
title: "Samriddhi khare - Operations Manager-I in Banda | Tal"
description: "Meet Samriddhi khare, Manager 1, Operations @Amazon | Data Science , Data Analyst & Operations | Amazon · Fractal | ML · SQL · Forecasting | Kaggle Expert | NIT Raipur ’26 based in Banda. AI stack includes cursor and opencode."
image: "https://tal.club/meet/samriddhi-khare/share-image"
---

# Samriddhi khare on Tal

## 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

cursor

opencode

## 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

[View the original profile](https://tal.club/meet/samriddhi-khare)

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