Abhishek Sharma

Abhishek Sharma

$18/hr
Power BI, Python, SQL, Data Analysis, Data Visualization, Excel
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
29 years old
Location:
Bengaluru, Karnataka, India
Experience:
3 years
About

I am a results-driven and detail-oriented Data Analyst with hands-on experience in leveraging data to solve real-world business problems across sales, operations, and e-commerce domains. With a strong foundation in analytics, I have successfully used tools like Power BI, Python, and Excel to create meaningful dashboards, predictive models, and actionable insights that support informed decision-making.

During my time at Krimson Apparels, I worked closely with sales and marketing teams to optimize pricing strategies across platforms like Myntra, Amazon, and Firstcry. By analyzing historical sales data and customer behavior, I developed a pricing recommendation model using Python, which led to a 10% improvement in profit margins and better pricing efficiency across product categories. I also assisted stakeholders in making data-driven decisions regarding MRPs, discounts, and promotions, resulting in a 12% increase in online sales.

One of my key achievements includes the development of a Power BI dashboard that tracked Stock vs. Inventory Levels, helping management visualize inventory flow and avoid stockouts and overstocking. The dashboard played a critical role in improving supply chain planning, reducing overstocking by 20% and enhancing overall operational efficiency.

My experience also includes working in an inside sales role in a cybersecurity firm, where I prospected and engaged with CISOs, CIOs, and IT managers to drive solution sales. I created email campaigns based on real-time cyberattack trends and collaborated with sales and pre-sales teams to improve lead quality and conversion. I also built a database of over 500 potential clients in the South region and initiated LinkedIn outreach, increasing prospect engagement by 3x.

Technically, I am proficient in Python (Pandas, NumPy, Scikit-learn), Power BI, Excel, and SQL, and am comfortable with data cleaning, visualization, and statistical modeling. I combine technical skills with business acumen and stakeholder communication to deliver high-impact results.

Above all, I’m passionate about solving business problems using data and continuously seek to grow by learning new tools, technologies, and industry trends. Whether it’s through automation, visualization, or predictive modeling, I strive to turn data into decisions that drive measurable outcomes.

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