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Data Analyst with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Statistics graduate from Hindu College, University of Delhi with strong skills in data analysis, statistical modeling, and data visualization. Experienced in data cleaning, exploratory data analysis (EDA), SQL querying, and dashboard development. Proficient in Excel, SQL, Python, and Power BI with hands on experience analyzing large datasets to generate data driven insights. Certified in Google Data Analytics.
HINDU COLLEGE, UNIVERSITY OF DELHI
Bachelor of Science Honours · Statistics
January 1, 2021 – January 1, 2024
DHSE Kerala
Higher Secondary Education · Computer Science
January 1, 2019 – January 1, 2021
Cyclistic Bike Share Analysis (Data Analytics Capstone Project)
January 1, 2023 – June 1, 2024
Executed end-to-end data analytics project analyzing 5.6M+ bike share records using Python, SQL, and Power BI to identify usage differences between casual riders and annual member. Built a complete data pipeline by consolidating 12 monthly CSV files, performing data cleaning and validation using the ROCCC framework, resulting in 5.5M analysis ready records with a 97.45% retention rate. Engineered 5 calculated features including ride length and temporal categories, and performed EDA to uncover patterns in ride duration, weekly trends, and seasonal behavior. Designed an interactive Power BI dashboard visualizing 6 KPIs across user segments and delivered 4 data driven marketing recommendations including weekend membership targeting, seasonal promotions, and geographic demand hotspot strategies.
Sales Analytics | New Product Line Launch
January 1, 2023 – June 1, 2024
Analyzed 15,000 sales transactions across 3 sales methods (Email, Call, Email+Call) using Python and SQL to evaluate revenue performance over a 6-week product launch period. Cleaned and validated dataset by resolving 1,074 missing values using median imputation and standardizing inconsistent labels using Python (Pandas). Identified Email+Call as the highest revenue strategy with $180 median revenue, growing from $135 to $220 over 6 weeks through exploratory data analysis (EDA) using Python and SQL. Built an interactive Power BI dashboard and delivered 5 data driven business recommendations to optimize sales strategy and improve resource allocation.
Google Data Analytics Professional Certificate
November 1, 2023 – November 1, 2025
Business Analytics with Excel: Elementary to Advanced
Unknown
June 1, 2023 – Present
Financial Markets
Unknown
February 1, 2023 – February 1, 2025
Cultural Fit Analysis
The candidate's academic background in Statistics, coupled with a strong interest in data analysis and finance, aligns well with a data-driven culture. The diversity of projects (bike share, sales analytics) and certifications demonstrates a broad interest in applying analytical skills across different domains. The mention of self-learning and continuous upskilling suggests a proactive and adaptable individual, which is beneficial for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, analytical thinking, and communication skills through the delivery of data-driven recommendations. Participation in programs like 'McKinsey Forward' further suggests an aptitude for communication and analytics in a business context. The focus on self-learning and continuous upskilling indicates a proactive and growth-oriented mindset.