Abhinav Akarsh

Business Development Executive

Bengaluru, Karnataka, India2 yrs 9 mos experience

Key Highlights

Automated KPI metrics, reducing manual efforts by 95%.
Improved collector analyst productivity by 25% through data-driven strategies.
Conducted comprehensive analysis leading to actionable insights.

Stackforce AI infers this person is a Business Analyst specializing in data-driven solutions within the Fintech sector.

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Skills

Core Skills

Business AnalysisSqlData Visualization

Other Skills

Account ManagementAnalytical SkillsApache AirflowBusinessBusiness ProcessCleverTapCommunicationComputer LiteracyExcel PivotGitHubGoogle Cloud Platform (GCP)HiveQLIdentifying TrendsLeadershipManagement

About

As a Proficient Business Analyst with over 1.5 years of experience i am adept at utilizing advanced techniques in data cleaning, sorting, and transformation using Power Query and Data Modelling in Microsoft Excel. I utilize libraries like pandas and NumPy in python to clean, analyze, and visualize data, enhancing the accuracy and efficiency of my analysis.I am skilled in debugging and optimizing SQL queries within MySQL Workbench, which guarantees precise data extraction and analysis. Besides this, I leverage my Power BI skills to create interactive dashboards for data-driven decision-making. If you're looking for a dedicated and skilled data professional to join your team, I would love to connect and learn more from you!

Experience

Pharmeasy

Business Analyst

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

SQLPython (Programming Language)Analytical SkillsApache AirflowHiveQLGitHub+4

Energy united india pvt. ltd.

Business Analyst

Mar 2023 – Jan 2025 · 1 yr 10 mos · Patna, Bihar, India

Implemented data-driven strategies and initiatives aimed at optimizing United Energy’s product the collection management system to improve collector analyst productivity by 25%.
Conducted a comprehensive analysis of client AR data to identify trends and patterns, and provided recommendations to solution architects during the product design phase to achieve business metrics.
Automated Operational KPI metrics computation for Collection Module by developing Python scripts, reducing manual efforts by 95%.
Streamlined project workflows and data pipelines by automating data processing and validation for extensive datasets through Python scripts, greatly cutting delivery time by 35%.
Performed Root Cause Analysis for low automation metrics and communicate corrective measures with account managers and solution architects yielding a significant 25% increase in net recovery rates.

Microsoft Power BINumPyPandas (Software)SQLSeabornMatplotlib+7