Mukhid Shaikh

Mukhid Shaikh

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AI/LLM Analyst @ Innodata Data Analyst · SQL | Python | Power BI | dbt · Turning Data into Decisions
Majalgaon, Maharashtra, India

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Starting at USD1k/month
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Starting at USD150/month
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Résumé


Jobs verified_user 0% verified
  • Innodata Inc.
    AI LLM Analyst public Remote experience
    Innodata Inc.
    Apr 2026 - Current (4 months)
    • Evaluating and annotating AI/LLM-generated outputs as part of a large-scale data annotation project, ensuring high accuracy and consistency. • Reviewing model responses against quality benchmarks and documenting discrepancies for feedback cycles. • Collaborating with cross-functional teams to define annotation guidelines and maintain data quality standards. • Preparing structured reports and trackers to communicate project progress and quality metrics to internal stakeholders. • Working within NDA-governed project scope, maintaining strict data confidentiality and compliance protocols.
  • H
    Quality Analyst
    Highbrow Technologies Inc!
    Dec 2025 - Jan 2026 (2 months)
  • TheRightDoctors
    Business Analyst Intern
    TheRightDoctors
    Mar 2025 - May 2025 (3 months)
  • YouTube
    YouTuber
    YouTube
    Nov 2017 - Mar 2025 (7 years 5 months)
Education verified_user 0% verified
  • Dr Babasaheb Ambedkar Marathwada University Aurangabad
    Bca, Computer and Information Sciences and Support Services
    Dr Babasaheb Ambedkar Marathwada University Aurangabad
    Aug 2022 - May 2025 (2 years 10 months)
    Skills: Defining Requirements · Data Analysis
  • S
    BCA, Computer Science
    Sunderrao Solanke Mahavidyalaya
    Jun 2022 - May 2025 (3 years)
Projects (professional or personal) verified_user 0% verified
  • P
    Python + SQL E-commerce
    Mar 2025 - May 2025 (3 months)
    E-Commerce Data Pipeline & Analytics Solution Architected and implemented a scalable end-to-end data pipeline for an e-commerce platform using Python, pandas & MySQL. Developed a modular ETL script (csv_to_sql.py) that: Auto-infers CSV data types and dynamically generates corresponding MySQL tables Cleans and handles missing values Bulk-loads six core datasets (customers, orders, sales, products, delivery, payments) On the analytics front, authored and optimized 20+ SQL queries—from basic aggregations (unique customer cities, annual order counts) to intermediate analyses (monthly trends, category-level sales, installment rates, correlation) and advanced metrics (moving averages, cumulative sales, YoY growth, customer retention, top spen