Data Science with less than a year in Python, SQL & Machine Learning
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Data Science professional skilled in Python, SQL, and Machine Learning with hands-on experience in real-world projects at IOTA Academy. Proficient in Power BI, Excel, and visualization tools (Matplotlib, Seaborn) to derive actionable business insights. Strong analytical mindset with expertise in model building, and decision-making.
Holkar Science College, Indore
Bachelor of Computer Applications · Programming, Databases, Data Structures, Algorithms, ML
August 1, 2024 – June 30, 2027
IOTA Academy, Indore
Data Science Professional Program · Python, SQL, Machine Learning, Power BI, Statistical Modelling
August 1, 2024 – June 30, 2025
BOG Trading Pvt. Ltd.
MIS Executive
February 1, 2026 – Present
Indore, Madhya Pradesh, India
UrbanClap Member Activity Analysis
June 1, 2025 – July 1, 2025
Conducted detailed analysis of user behavior and service usage trends using Python and Pandas. Performed exploratory data analysis (EDA) to uncover patterns in member engagement and activity levels. Created visualizations with Matplotlib to present insights and support data-driven decision-making.
Zomato Sales Analysis
April 1, 2025 – May 1, 2025
Analyzed sales data using SQL to identify top-selling items, peak order times, and revenue trends. Wrote optimized SQL queries to extract, clean, and summarize large datasets efficiently. Delivered insights to support decision-making on customer preferences and sales performance.
Employees Salary Analysis
February 1, 2025 – March 1, 2025
Analyzed employee salary data to identify departmental averages and pay disparities using Power BI. Developed interactive and insightful dashboards to visualize salary distribution and highlight key metrics. Provided actionable insights to support HR in compensation planning and workforce management.
Data Capstone Project
December 1, 2024 – January 1, 2025
Utilized Advanced Excel features such as pivot tables, VLOOKUP, and data modelling to analyze datasets. Performed detailed data cleaning, transformation, and statistical analysis to extract meaningful insights. Created dynamic dashboards and reports to effectively support decision-making processes.
Cultural Fit Analysis
The candidate's academic projects cover various domains (e.g., urban services, food sales, HR, general data capstone), indicating a breadth of interest and adaptability. The current role as an MIS Executive for an international client further demonstrates exposure to real-world business contexts. The listed skills and project types suggest a good alignment with a data-centric, problem-solving culture.
Soft Skills & Operational Fit
The candidate highlights critical and strategic thinking, a data-driven decision-making approach, and logical/analytical reasoning skills. These align well with the demands of a Data Science role, indicating a proactive and analytical mindset. The project descriptions suggest an ability to work on diverse datasets and deliver insights, which is crucial for operational fit.