About

Electrical and Electronics Engineering graduate with hands-on experience in SQL, Excel, Power BI and Python, plus current experience in lead-pipeline tracking and MIS reporting as a Business Development Executive at Foundit. Built end-to-end analytics projects on loan-default prediction and IMDb ratings, and completed Deloitte and Tata data analytics job simulations. Seeking a Data Analyst role to turn data into clear, actionable insights.

Experience2

  1. Business Development Executive (BDE)

    Sep 2026 — Present

    Foundit

    Managed the cold-calling and follow-up pipeline sheet, tracking lead status and application progress and delivering regular MIS reports. Counseled prospective UG and PG students and parents across calls, WhatsApp and email on courses, universities, fees and scholarships, converting enquiries into enrolments. Guided students through documentation and eligibility checks and coordinated with internal teams to onboard admitted students.

  2. Academic Counselor (Voice Process)

    Apr 2026 — Jun 2026

    Infinity Learn · Remote

    Maintained timely follow-ups by owning the end-to-end query lifecycle in CRM across 100+ weekly customer interactions. Resolved 50+ customer queries daily via inbound/outbound voice calls, maintaining high satisfaction by applying structured troubleshooting frameworks under KPI-driven SLAs.

Projects2

  • Loan Default Prediction System

    Analyzed 38,577 resolved LendingClub loans (14.6% default rate), building a leakage-safe pipeline using only issue-time information and a time-based train/validation/test split. Compared five model setups and selected Gradient Boosting on validation, tuning the decision threshold for default recall (test ROC AUC 0.725, recall 0.51). Wrote SQL queries on default rates by loan grade and purpose, and built an interactive dashboard with a threshold slider showing the precision–recall trade-off.

    • Python
    • SQL
    • scikit-learn
    • Streamlit
  • IMDb Movie Ratings Analyzer

    Cleaned and joined four official IMDb datasets into 49,263 eligible movies, analyzing rating trends by genre, decade and director with minimum-sample safeguards. Built a Streamlit dashboard with genre and year filters and a report documenting data-quality decisions.

    • Python
    • pandas
    • Matplotlib
    • Streamlit

Education3

  • Bachelor of Technology

    2022 — 2026

    ITER, Siksha ‘O’ Anusandhan, Bhubaneswar

    Electrical and Electronics Engineering

  • Senior Secondary (Class XII)

    2020 — 2022

    B.N.S. DAV Public School (CBSE)

  • Secondary (Class X)

    2018 — 2020

    B.N.S. DAV Public School (CBSE)

Certifications4

  • Data Science with Python

  • GenAI Powered Data Analytics Job Simulation

    Tata Group (via Forage)

  • Data Analytics Job Simulation

    Deloitte (via Forage)

  • AI Fluency: Framework & Foundations

    2026

    Anthropic

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