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Data Science with 3+ years in Power BI & Data Analysis
As a Bachelor of Commerce graduate with a PGDM in Human Resources, I bring intermediate proficiency in data analysis, MySQL, and advanced Excel functions. Skilled in Python and Power BI with a foundational understanding of statistical analysis and machine learning concepts. Previously worked as a Consultant - Data Visualization (Data Analyst) at Delphime Consulting Pvt. Ltd., applying analytical skills to build insightful dashboards and support data-driven decision-making across enterprise projects. Passionate about leveraging analytics to bridge business understanding with technical solutions.
Fly The Nest, Ahmedabad
Data Science Program
August 1, 2024 – June 30, 2025
Loyola Institute of Business Administration, University of Madras
Post Graduate Diploma in Human Resource Management · Human Resources
August 1, 2022 – June 30, 2023
R. J. Tibrewal Commerce College, Gujarat University
Bachelor of Commerce · Commerce
August 1, 2014 – June 30, 2018
Delphime Consulting Pvt. Ltd.
Data Visualization – Consultant (Analyst)
April 1, 2026 – May 1, 2026
Noida, Uttar Pradesh, India
Delphime Consulting Pvt. Ltd.
Data Visualization - Associate (Analyst)
June 1, 2025 – March 1, 2026
Noida, Uttar Pradesh, India
Ecode Dash Pvt. Ltd
HR Executive
December 1, 2024 – June 1, 2025
Ahmedabad, Gujarat, India
Gemba Concepts
HR Associate
October 1, 2023 – November 1, 2024
Ahmedabad, Gujarat, India
Zydus Lifesciences Limited
HR Apprentice
August 1, 2022 – August 1, 2023
Ahmedabad, Gujarat, India
Vardhman Articles
Accounting Supervisor
January 1, 2017 – January 1, 2022
Ahmedabad, Gujarat, India
Uber Data Analysis
June 20, 2026 – Present
Performed exploratory data analysis on Uber ride data, identifying peak ride times between 5-8 PM on weekdays. Key high-demand zones included downtown and airports (40% of rides). Interactive visualizations and statistical analysis aided operational planning and resource optimization.
View ProjectAmazon Sales Dashboard
June 20, 2026 – Present
Developed a dynamic Power BI dashboard analyzing Amazon sales data, revealing that the 'Electronics' category accounted for the highest revenue share. Monthly sales peaked during holiday seasons, with a 25% increase in December. Insights on regional sales helped prioritize marketing efforts.
View ProjectFNP Sales Analysis Dashboard
June 20, 2026 – Present
Created an Excel dashboard summarizing FNP sales with 20% growth in Valentine's week. 'Roses' and 'Chocolates' were the most popular categories, making up 55% of sales. Automated pivot tables tracked daily sales trends, aiding inventory and promotion decisions.
View ProjectPizza Hut Sales Analysis
June 20, 2026 – Present
Conducted comprehensive SQL queries on Pizza Hut sales data covering 10K+ transactions. Identified 'Medium Cheese Burst' as the top-selling item contributing 18% of total sales. Peak order times were evenings between 6-9 PM, guiding optimal staffing and promotions.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from Uber data analysis to Amazon sales and HR analytics, indicates a broad interest in applying data science across different domains. Their educational background in Human Resource Management, followed by a Data Science program, shows a proactive effort to pivot and align with the target role. The breadth of skills, including Python, SQL, Power BI, and Excel, suggests adaptability and a willingness to learn new tools, which are positive indicators for cultural fit in a dynamic data science environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as presentation, storytelling, teamwork, collaboration, and communication, which are crucial for a Data Science role involving stakeholder interaction and insight delivery. Their experience in leading UAT-to-Production deployments and authoring technical documentation indicates an operational fit for structured project execution and knowledge transfer. The HR background also suggests an ability to understand business processes and translate data into actionable insights.