Seasoned Data Analyst with a talent of unraveling complex data puzzles to reveal valuable insights. Let's dive deep into data and uncover Data stories together
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Data Scientist
June 24, 2026 – Present
EXCEL-Coffe_Shop_Sales_Analysis
May 30, 2024 – June 1, 2024
Analyzed coffee shop sales data using Excel to uncover sales patterns, peak times, monthly revenue, location-based differences, average order price, best-selling products, and category trends. Generated actionable insights to enhance performance and inform strategic decisions.
View ProjectPYTHON-GDP-Analysis
May 8, 2024 – May 17, 2024
- Conducted comprehensive analysis of global and country-specific GDP data from 1960 to 2016 using Python libraries (NumPy, Pandas, Seaborn, Plotly) to identify trends, perform data cleaning. - Created interactive and static visualizations, including top 20 GDP comparisons and growth trajectories, and saved outputs as HTML files
View ProjectPOWER_BI-Call_Center_Dashboard
April 28, 2024 – June 3, 2024
- Developed a comprehensive Power BI dashboard for call center performance analysis, featuring interactive visualizations on metrics such as answered calls, issue resolution, average speed of answering calls, satisfaction ratings, and monthly trends.
View ProjectPYTHON-Black_Friday_Sale_EDA
April 20, 2024 – May 17, 2024
- Conducted comprehensive Exploratory Data Analysis (EDA) on the Black Friday sales dataset using Python's powerful data analysis and visualization libraries such as NumPy, Pandas, and Seaborn. - Explored diverse sales data facets including customer demographics, product categories, and purchase behaviors, uncovering actionable insights and visuals
View ProjectLeetcode-100
April 14, 2024 – June 5, 2024
- A repository Log of all the 100 questions of python on Leetcode that i took down on my way, are saved here for your refernce
View ProjectHarshChaudhary1312
April 14, 2024 – July 21, 2024
A short and crisp overview README file about my projects and progess being shared here....
View ProjectSQL-Walmart_Sales_Data_Analysis
April 12, 2024 – May 30, 2024
- Analyzed Walmart sales data from three branches using SQL and Python, focusing on product performance, sales trends, and customer behavior to optimize sales strategies and identify key performance factors. - Performed data wrangling, feature engineering, and exploratory data analysis to uncover insights
View ProjectEXCEL-Orders_Data_Analysis
April 10, 2024 – May 16, 2024
Analysed Sales Data of an restaurant using Excel, examining region-wise sales, top customer identification, month and year-wise sales trends, and delivery person performance across regions. Utilized various visualizations like pivot table, charts and graphs to present actionable insights in an accessible manner.
View ProjectTABLEAU-COVID-19_World_Data_Dashboard
April 8, 2024 – May 4, 2024
- Crafted an interactive dashboard using Tableau to analyze COVID-19 data worldwide from January 2020 to June 2020. - Explored key trends and patterns, including top countries with increasing cases, total case counts, and overall flow of increasing cases, resulting in a 14% enhancement in insights and understanding.
View ProjectTABLEAU-Superstore_Sales_Dashboard
April 5, 2024 – June 2, 2024
- Developed interactive Tableau dashboards to analyze fictional Superstore sales data, focusing on sales performance, regional trends, and customer segmentation to drive strategic business decisions. - Utilized geospatial and trend analysis to uncover seasonal patterns, market penetration, and sales fluctuations, providing actionable insights.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data analysis and visualization, which aligns well with a Data Scientist role. The personal projects demonstrate initiative and a proactive approach to learning and applying various data tools. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit beyond individual technical contributions. The experience level is listed as 0, but the candidate has a current role as a Data Scientist, which is a discrepancy. Assuming the projects are indicative of their current capabilities, the fit for a Data Scientist role is moderate, but the lack of diverse project types (e.g., machine learning model deployment, A/B testing, data engineering) limits the breadth of cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to analyze complex data, identify trends, and present actionable insights, which suggests strong analytical and problem-solving skills. The variety of tools used implies adaptability. However, without specific psychometric or English test results, a comprehensive assessment of communication, teamwork, and stress handling is not possible.