
Data Analyst with 1+ years in Python & SQL for business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical aspiring Data Analyst with strong proficiency in Python, SQL, Excel, and Power BI. Skilled at cleaning, transforming, and visualizing data to extract actionable business insights. Adept at building dashboards, writing complex queries, and performing exploratory analysis to support decision-making. Eager to apply technical expertise and problem-solving skills in a data-driven organization.
Army Institute of Management and Technology
MBA · Analytics
August 1, 2024 – June 30, 2026
Dayalbagh Educational Institute
B.Voc · AI and Robotics
August 1, 2019 – June 30, 2022
Rveiya Dynamics
AI/ML Intern
August 1, 2025 – Present
India
Woodland Aero Club
Business Analyst Intern
July 1, 2025 – August 1, 2025
India
ADRDE [DRDO]
Technical Intern
June 1, 2021 – August 1, 2021
India
Titanic, Mobile, and Chocolate Sales datasets analysis
June 30, 2026 – Present
Performed Exploratory Data Analysis (EDA) on Titanic, Mobile, and Chocolate Sales datasets.
Emotion Detection System
June 30, 2026 – Present
Built an Emotion Detection System using OpenCV.
Pacman game
June 30, 2026 – Present
Developed a Pacman game with Pygame.
AI Chatbot
June 30, 2026 – Present
Created an AI Chatbot leveraging Natural Language Processing (NLP) to summarize notes, generate quizzes, and explain academic concepts, improving learning efficiency and engagement.
Online Book Store dataset analysis
June 30, 2026 – Present
Designed and executed SQL queries on an Online Book Store dataset to analyze sales performance, customer behavior, and inventory management.
Dynamic financial model
June 30, 2026 – Present
Built a dynamic financial model in Excel implementing key investment appraisal techniques such as Net Present Value (NPV), Profitability Index (PI), and Internal Rate of Return (IRR) to evaluate project feasibility.
Sensitivity analysis
June 30, 2026 – Present
Performed sensitivity analysis to assess the impact of changes in key assumptions (e.g., discount rate, cash flows, growth rate) on financial outcomes, supporting better decision-making and risk assessment.
"30 Dashboards in 30 Days" Power BI Challenge
June 30, 2026 – Present
Completed a "30 Dashboards in 30 Days" Power BI Challenge on LinkedIn, designing interactive dashboards across domains such as HR, Finance, and Marketing. Showcased expertise in data visualization, DAX calculations, and data modeling, creating dashboards with advanced KPIs, trend analysis, and dynamic filters.
Python for Beginners
Unknown
June 1, 2026 – Present
Microsoft Excel 2019 Associate
Unknown
June 1, 2026 – Present
Power BI Micro Course
Unknown
June 1, 2026 – Present
SQL Micro Course
Unknown
June 1, 2026 – Present
Career Essentials in Data Analysis
Unknown
June 1, 2026 – Present
Elements of AI
Unknown
June 1, 2026 – Present
Career Essentials in Generative AI
Unknown
June 1, 2026 – Present
Certificate Programme in Banking, Finance & Insurance
Unknown
June 1, 2026 – Present
Presented Research paper on Financial Performance on Indian IT Sectors in conference organized by AIMT.
8th International Conference
January 1, 2025 – Present
Undergraduate Research Awardee for E-Attendance System in DEI.
UGRA
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic AI/ML projects to financial modeling and data visualization challenges, indicates a broad interest and willingness to explore different domains. The pursuit of an MBA in Analytics further aligns with a growth-oriented culture. The internships, though short, show exposure to different work environments (AI/ML, Business Analyst, Technical Intern), suggesting adaptability. The '30 Dashboards in 30 Days' challenge highlights self-motivation and a proactive approach to skill development, which are positive cultural indicators.
Soft Skills & Operational Fit
The candidate lists problem-solving, creative & innovation, critical thinking, time management, decision-making, and multitasking as soft skills. These are highly relevant for a Data Analyst role, where analytical thinking and effective communication of insights are crucial. The academic projects and internships suggest an ability to work on diverse tasks and apply different analytical techniques, indicating a good operational fit for roles requiring adaptability.