Hi, my name is VISHNU

Statistics Postgraduate specializing in Data Analytics and Machine Learning, focused on transforming structured data into actionable business insights.

About Me

Statistics postgraduate with professional experience in compliance reporting and operational analytics. Skilled in data analysis, machine learning, and dashboard development through end-to-end projects. Proficient in Python, SQL, Excel, and Power BI, with a solid foundation in applying data-driven solutions to real-world problems.

PROFESSIONAL EXPERIENCE

Helpdesk Executive – Facilities

Allianz Services India Pvt. Ltd., Trivandrum | July 2023 – Present

  • Log, categorize, and track facility service requests using Excel-based trackers.
  • Analyze request volumes and issue categories to identify operational patterns and improvement areas.
  • Monitor resolution timelines and SLA adherence, maintaining service efficiency above 97%.
  • Prepare monthly MIS reports summarizing service volumes and resolution performance.
Junior Executive – Compliance

Capstocks & Securities India Pvt. Ltd., Trivandrum | February 2021 – July 2023

  • Analyzed compliance and operational data using Advanced Excel techniques.
  • Generated regulatory reports for NSE, BSE, and MCX in accordance with exchange guidelines.
  • Maintained high data accuracy and integrity across regulatory submissions with zero delays or penalties.
  • Supported audits through structured data reporting, documentation and validation checks.

PROJECTS

Student Social Media Addiction Prediction – ML Web Application

Tech Stack: Python, Scikit-learn, Flask, Docker, Hugging Face Spaces

Designed and deployed multiple machine learning models to assess student social media addiction and academic impact using Flask, Docker, and Hugging Face Spaces.

GitHub
Football Match Performance Analysis – Web Scraping & EDA

Tech Stack: Python, Pandas, Web Scraping, Matplotlib, Seaborn

Built an end-to-end data analysis project by scraping real football statistics using Python. Cleaned and analyzed the data using EDA techniques and visualizations to uncover trends and performance insights from real-world sports data.

GitHub
Retail Sales Analytics & Forecasting Dashboard – Power BI

Tech Stack: Power BI, DAX, Data Modeling, KPI Dashboarding

Retail Sales Analytics & Forecasting Dashboard built using Power BI, featuring a star schema data model, DAX-based KPIs, product and customer insights, logistics analysis, and time-series sales forecasting to support data-driven business decisions.

GitHub

SKILL SET

Technical Skills
  • – Python (NumPy, Pandas, Scikit-learn)
  • – SQL (MySQL, PostgreSQL)
  • – Advanced Excel
Data Analysis & ML
  • – Data Cleaning & Preprocessing
  • – Exploratory Data Analysis (EDA)
  • – Statistical Analysis
  • – Regression, Classification, Clustering
Visualization & BI
  • – Power BI
  • – Matplotlib
  • – Seaborn
  • – Plotly