Remote Data Entry Specialist (Data Science)

Vibhas Aggarwal

+91-813******* **************@*****.*** linkedin.com/in/vibhas-aggarwal github.com/VibhasAggarwal Education

Qualification Institution Score Year

B.Tech CSE (Data Science) Manipal University Jaipur 7.52/10 2023–2027 CBSE Class XII (PCM) Bal Bharati Public School 87.4% 2023 CBSE Class X Bal Bharati Public School 90.6% 2021

“‘

Experience

Data Science Intern May 2026 – Present

Airtel Payments Bank India

– Develop SQL queries for data extraction, reporting, and business analysis across operational datasets.

– Conduct market research and competitive analysis to identify customer trends and business opportunities.

– Analyze data using Python, Excel, and statistical techniques to support data-driven decision-making.

– Assist in identifying key business metrics and preparing analytical reports to support strategic decision-making. Software Engineering Intern 2025

Intellosync Technologies Remote

– Worked on a Generative AI-powered Contract Lifecycle Management platform.

– Built reusable ReactJS components and collaborated with backend and AI teams. Projects

Amazon Sales & Profitability Analytics Python, SQL, Power BI

– Analyzed Amazon sales data using Python and SQL to identify sales trends, product performance, and profitability insights.

– Developed an interactive Power BI dashboard featuring 8+ KPI cards, category-wise analysis, regional performance, and top-selling products.

– Performed data cleaning, transformation, and visualization to support data-driven business decisions. Coffee Sales Case Study Power BI

– Performed sales and customer behavior analysis using Power BI to identify purchasing patterns and revenue trends.

– Designed an interactive dashboard featuring 8+ KPIs including Total Revenue, Total Cups Sold, Peak Hour Sales, Weekday vs Weekend Spend, and Average Spend metrics.

– Analyzed sales performance across product categories, time periods, and customer preferences to uncover business insights.

– Created visual reports for revenue growth, spending trends, and time-based sales analysis, enabling faster data-driven decision-making.

AI-Powered Data Analytics Platform Python, Streamlit, Scikit-learn, Gemini API GitHub

– Built an AI-powered Data Analytics Platform for automated EDA, visualization, and machine learning workflows.

– Integrated Generative AI for business insight generation, natural language dataset querying, PDF question answering, and SQL query generation.

– Designed a modular multi-agent architecture and interactive dashboard enabling automated insights and faster decision-making. Technical Skills

Analytics & BI: SQL, Snowflake, Power BI, Microsoft Excel (Pivot Tables, Power Query, Dashboards), KPI Tracking, Business Analysis, Market Research

Programming: Python, C++

Data Analysis: Pandas, NumPy, Statistics, Exploratory Data Analysis (EDA), Data Cleaning Machine Learning: Scikit-learn

Tools: Git, GitHub, Streamlit

Leadership Experience

Convenor 2025 – Present

Under25 MUJ Jaipur

– Led planning and execution of campus-wide events. Joint Head of Programs 2024 – 2025

IEEE Student Branch MUJ Jaipur

– Coordinated technical events and workshops.

Certifications

Stanford Machine Learning Specialization (Stanford University) Microsoft Student Ambassador Technical Training (Microsoft) Learn C++ Programming: Beginner to Advanced (Udemy)

Contact this candidate