Prakhar S.

Business Development Executive

Pune, Maharashtra, India3 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing data-driven solutions using Power BI.
Strong background in Python and machine learning applications.
Proven ability to integrate and manage large datasets.

Stackforce AI infers this person is a Fintech Data Analyst with strong backend development skills.

Contact

shreyashprakhar1502@gmail.com LinkedIn

Skills

Core Skills

PowerbiData ManagementData EngineeringMachine LearningData Analysis

Other Skills

Azure Data LakeAzure DatabricksBusiness Intelligence (BI)C++Data CleaningData Structures & AlgorithmsData WarehousingKivyMySQLPython (Programming Language)React.jsSQLTechnical Documentation

About

My journey in the tech field has led me to Bajaj Finserv, where I thrive as a Business Analyst. With a foundation in B.Tech (Computer Science & Engineering) from KIIT Bhubaneswar, I leverage my tech stack expertise in Python, Azure Databricks, SQL Server, and Power BI to deliver robust data solutions. I'm deeply invested in facilitating seamless data integration and insightful analytics to drive business decisions. My role involves developing backend code for Power BI dashboards, data integration, automation & data management supporting financial campaigning processes, reflecting my commitment to harnessing data for strategic impact.

Experience

Bajaj finserv

3 roles

Deputy Unit Manager - Risk (Lifestyle Finance)

Feb 2025 – Present · 1 yr 1 mo · Pune, Maharashtra, India · On-site

Deputy Unit Manager - Fixed Deposit

Jul 2023 – Feb 2025 · 1 yr 7 mos · Pune, Maharashtra, India · On-site

Developed and Maintained Backend Code: Designed and implemented backend data for Power BI dashboards for business analysis, ensuring seamless data integration and accurate reporting.
Support in CG Process: Providing support during data integration and campaigning processes, ensuring the integrity of data-driven decisions and process efficiency.
Tech Stack Utilized: Leveraged Python, Pyspark, Azure Databricks, SQL and Power BI to manage and analyze large datasets, enabling effective data visualization and business intelligence.

Azure DatabricksAzure Data LakeSQLPowerBIPython (Programming Language)Data Cleaning+2