Headline

Data Analyst | SQL, Excel, Power BI, Python | Data Cleaning, EDA, Dashboarding | Turning Data into Actionable Insights

About

I’m Minal Mohod, a passionate and detail-oriented Data Analyst with a Bachelor’s degree in Computer Science and currently pursuing a Master’s in Computer Applications. Throughout my academic journey, I’ve cultivated a deep interest in transforming raw data into actionable insights and earned certifications in UI/UX and data tools that complement my analytical skills. During my internship at Fireblaze Technologies, I applied my knowledge of SQL, Excel, Python, and Power BI to support real-time data-driven decision-making. I’ve successfully completed projects like Online Sales Analysis and Pharmacy Data Analysis, where I cleaned over 5,000+ records, designed impactful dashboards, and helped reveal insights like identifying that the top 9.5% of customers drove over 41.1% of total revenue and optimizing transaction processes by 14.5%. My technical toolkit includes Power BI (DAX, Power Query), Python (Pandas, NumPy), SQL, Excel (VLOOKUP, Pivot Tables), and strong visualization capabilities. I also bring soft skills such as critical thinking, adaptability, and teamwork to every project I tackle. I take pride in delivering interactive dashboards and clear, data-driven stories that enhance planning, marketing, and business outcomes. Looking ahead, I aim to work in a collaborative and innovative environment where I can contribute to meaningful data projects, sharpen my analytics expertise, and support organizations in making smarter decisions powered by data.

Location

Nagpur

Work experience

Data Analyst Intern at Fireblaze Technologies Private Limited, Sep 2024 - Mar 2025 · 7 mos, Nagpur, Maharashtra, India, As a Data Analyst Intern, I transformed raw datasets into meaningful insights that supported strategic decisions across departments. My core responsibilities included data cleaning, EDA, visualization, and reporting using tools such as SQL, Power BI, Excel, and Python (Pandas, NumPy). I cleaned and standardized over 5,000+ records, improving data accuracy by 30%. Using Python and Excel, I performed exploratory data analysis to uncover trends and patterns in customer behavior, including a key insight that 9.5% of customers generated 41.1% of revenue, which enabled better-targeted marketing strategies. I designed dynamic Power BI dashboards using DAX and Power Query to visualize KPIs, sales trends, geographic performance, and payment method preferences. One dashboard led to a 14.5% improvement in transaction efficiency by identifying the most preferred payment method. Reporting time was reduced by 20% through automation and template optimization. Using SQL, I created optimized queries to extract, filter, and aggregate data for analysis and reporting, supporting cross-functional teams with real-time insights. I also collaborated with operations, marketing, and sales to present findings clearly, enabling a 15–20% improvement in planning accuracy. This internship strengthened my foundation in data analytics, business intelligence, and stakeholder communication, while reinforcing my ability to deliver value through data-driven decisions.

Education

Postgraduate Degree, MCA, JD College of Engineering, Khandala

Bachelor of Science, Computer Science, Dr. Ambedkar College, Nagpur