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Alpesh Shinde

Product Manager

Los Angeles, California, United States2 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 700% improvement in system performance through code migration.
  • Led a team to enhance data validation efficiency by 30%.
  • Developed ML models for actionable campaign insights.
Stackforce AI infers this person is a Data Engineer and Machine Learning Specialist with a focus on performance optimization and data-driven insights.

Contact

LinkedIn

Skills

Core Skills

Python (programming Language)Amazon Web Services (aws)Data WarehousingTeam ManagementData AnalysisVersion ControlMachine LearningStatisticsExtract, Transform, Load (etl)Natural Language Processing (nlp)

Other Skills

AnalyticsArduinoArtificial Intelligence (AI)BitbucketC (Programming Language)C++ConfluenceData MiningData ModelingData VisualizationDatabasesDeep LearningDeveloper AnalyticsDockerESP8266

About

Currently pursuing my Master’s in Computer Science with a specialization in Data Science at USC. With hands-on experience at multiple startups, I’ve led projects in data engineering, ML modeling, and system optimization—delivering measurable results like 700% performance gains and 90% reduction in manual efforts. I enjoy working at the intersection of code, data, and impact—building tools that make real-world systems faster, smarter, and more efficient. Let’s connect if you're working on something exciting in data, AI, or infrastructure!

Experience

2 yrs 6 mos
Total Experience
10 mos
Average Tenure
--
Current Experience

Usc information technology services (its)

Solutions Programmer

Apr 2025 – Present · 1 yr 2 mos · Los Angeles, California, United States · On-site

Python (Programming Language)Amazon Web Services (AWS)Image ProcessingPostgreSQL

Usc auxiliary services

Student Worker

Apr 2025 – May 2025 · 1 mo · Los Angeles, California, United States

Servify

Data Engineer II

Jul 2023 – Oct 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India

  • ◦ Managed a team of 4 members to develop and implement an end-to-end test bed for data validation
  • testing, resulting in a 30% increase in efficiency and accuracy of data warehouse processes.
  • ◦ Developed and designed scalable data architecture to handle a volume of 1TB of data daily, resulting
  • in improved system performance and streamlined workflows.
  • ◦ Implemented a comprehensive code migration strategy, updating legacy code to the latest technologies, resulting in a 700% improvement in system performance.
Amazon Web Services (AWS)Data WarehousingTeam ManagementData MiningData ModelingPython (Programming Language)+7

Sprighub

Data Engineer and Data Scientist

Feb 2023 – Jul 2023 · 5 mos · Remote

  • ◦ Developed and implemented ML models, statistical techniques, and hypothesis testing to identify factors
  • impacting campaign performance. Provided actionable insights to clients on dashboards for campaign
  • optimization.
  • ◦ Created a comprehensive rating formula to evaluate and classify ad campaign performance based on key
  • metrics.
  • ◦ Designed and implemented secure ETL processes, extracting data from various APIs (Twitter, Facebook,
  • Instagram, LinkedIn). Transformed data into a standardized format for analysis and reporting.
  • ◦ Collaborated with cross-functional teams to translate data requirements into SQL queries. Supported
  • data-driven decision-making with actionable insights.
Statistical Data AnalysisAmazon Web Services (AWS)StatisticsBitbucketGlueMachine Learning+3

Blueoptima

Machine Learning and Data Engineer

Apr 2022 – Mar 2023 · 11 mos · Bengaluru, Karnataka, India

  • Improved statistical-based models for exclusion classification, resulting in a 240% increase in
  • classifications and reduced False Positives.
  • ◦ Performed data analysis and visualization on millions of data points from 36 different metrics sourced
  • from VCS, utilizing Python, SQL, and data visualization tools to derive actionable insights.
  • ◦ Proposed and built an automated pipeline for Impact Analysis calculations, leveraging ETL processes,
  • Python, and automation tools to save hours of manual effort.
  • ◦ Developed and trained machine learning models for exclusion candidate identification in commit and
  • file-level data, employing Python, machine learning algorithms, and data preprocessing techniques.
Statistical Data AnalysisObject-Oriented Programming (OOP)DockerData VisualizationSQLStatistical Modeling+12

Hindustan aeronautics limited

Machine Learning Intern

Mar 2021 – Mar 2021 · 0 mo · Bengaluru, Karnataka, India · On-site

  • Hindustan Aeronautics Limited is a state-owned aerospace and
  • defense company governed under the Ministry of Defence.
  • Projects: AI-Powered Defect Detection and Disposition in Aircrafts
  • Worked hands-on for :
  • Raw data cleansing and preprocessing.
  • Applied and performed classic NLP techniques.
  • Data sampling and Model Improvements.
Statistical Data AnalysisNatural Language Processing (NLP)SQLStatistical ModelingMachine LearningPython (Programming Language)+2

Education

University of Southern California

Master of Science - MS — Computer Science - Data Science specialization

Jan 2025 – Dec 2026

Dayananda Sagar College of Engineering, BANGALORE

Bachelor of Engineering - BE — Computer Science

Mar 2018 – Jan 2022

Kendriya Vidyalaya

Schooling

Aug 2006 – Mar 2018

Alpesh Shinde - Product Manager | Stackforce