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About

M.Sc IT graduate (CGPA 8.84) with hands-on experience in data analysis, MIS reporting, Excel dashboards, and Python-based data processing. Processed 10,000+ row datasets, automated reporting workflows, and delivered KPI scorecards to operations and business teams. Currently working in Bangalore at Ucanly Infotech LLP. Actively seeking Data Analyst Trainee, MIS Executive, Software Tester, or Business Analyst Intern roles.

Experience3

  1. Business Development & Data Analytics Associate

    Jun 2026 — Present

    Ucanly Infotech LLP

    Analyze daily sales pipeline data using Excel to produce MIS reports and KPI dashboards supporting management decisions. Track and report over 50 daily client interaction metrics through structured weekly performance dashboards. Monitor lead conversion channels to improve pipeline visibility with data-driven analysis. Prepare weekly KPI scorecards on team performance contributing to strategic business decisions.

  2. Data Analysis Industrial Trainee

    Sep 2025 — Oct 2025

    Exide Industries Ltd

    Processed 10,000+ rows of manufacturing data using Excel functions (VLOOKUP, Pivot Tables, INDEX-MATCH) for MIS reporting. Developed an automated MIS report template reducing daily data consolidation by 30 minutes, adopted by operations analysts. Conducted root-cause analysis on production anomalies presenting findings to management. Generated weekly KPI scorecards tracking output, downtime, and efficiency across production lines.

  3. Data Analysis Intern

    Apr 2024 — Jun 2024

    Zscaler Academy

    Reduced manual security reporting time by 40% via Python pipelines to extract, clean, and organize cloud security logs. Delivered weekly MIS reports summarizing threat analytics across multiple simulated enterprise environments. Designed Excel dashboards tracking policy compliance KPIs using pivot tables and conditional formatting. Conducted business analysis identifying Zero Trust policy gaps and presented insights to senior mentors.

Projects3

  • Social Media Sentiment Analysis Dashboard

    Achieved 87% accuracy on a 15,000-tweet dataset using Random Forest and NLP pipeline combining text, image, and Twitter data. Reduced manual data-labelling effort by 60% through automated Python (Pandas, NumPy) data cleaning and processing workflow. Built interactive Streamlit reporting dashboard enabling non-technical stakeholders to query sentiment trends in real time.

    • Python
    • PyTorch
    • Streamlit
    • NLP
    • Random Forest

  • College Placement Analytics System

    Improved recruiter shortlisting efficiency by 25% by building a Python scoring system ranking 200+ student profiles across 4 weighted KPIs. Replaced manual Excel tracking with automated MIS reports saving approximately 3 hours per placement cycle.

    • Python
    • Excel
    • Data Processing

  • Movie Recommendation System

    Achieved 92% collaborative-filtering precision by developing a deep learning recommendation engine trained on 100,000+ user-movie interaction records. Reduced data processing errors by 35% through Pandas-based feature engineering and structured data cleaning pipelines.

    • Python
    • TensorFlow
    • Keras

Education4

  • Master of Science

    2023 — 2025

    Techno India University, Kolkata

    Information Technology

  • Bachelor of Science

    2018 — 2021

    Bidhannagar Government College, Kolkata

    Mathematics (Honours)

  • Higher Secondary Education (12th)

    2018

    Ichapur Girls High School, Ichapur, West Bengal

  • Secondary Education (10th)

    2016

    Shyamnagar Girls High School, Shyamnagar, West Bengal