Adi More

Business Development Executive

Pune, Maharashtra, India2 yrs experience

Highly Stable

Key Highlights

Expert in data analysis with Python and SQL.
Proven track record in optimizing data processing pipelines.
Strong collaboration skills in defining business objectives.

Stackforce AI infers this person is a Data Analyst with strong capabilities in Data Engineering and Market Research.

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Skills

Core Skills

Data AnalysisPythonData Engineering

Other Skills

AWSAnalytical SkillsAutomationAzureBootstrapC++Cascading Style Sheets (CSS)Core JavaData IntegrationData PipelineData ProcessingGit BASHGitHubHTMLJ2EE Web Services

About

Hello, I'm Adinath ✨ I hold a Master's in Computer Applications (MCA) and am actively seeking exciting opportunities in the tech field. ✨ My primary objective is to secure a challenging position where I can leverage my technical skills to contribute effectively as a Software Professional. ✨ I'm passionate about learning new technologies and continuously expanding my knowledge to keep up with the latest trends in the industry. ✨ I thrive in team environments, and I'm eager to collaborate, communicate, and coordinate effectively to drive smooth operations and contribute to the development process.

Experience

Octrans technologies private limited

Data Analyst

Mar 2023 – Mar 2025 · 2 yrs · Pune, Maharashtra, India · On-site

Managed and executed end-to-end data analysis projects, using Python, MySQL, NumPy, Pandas and
Conducted in-depth exploratory data analysis (EDA) to uncover patterns and trends for decision-making.
Optimized data processing: Converted SAS scripts to PySpark and automated the data processing pipeline, incorporating metadata scripts and orchestration JSON, achieving a 50% reduction in data processing time.
Programmed 150+ surveys and conducted comprehensive analysis, identified emerging market trends, evaluated on consumer behavior. Contributed to company’s growth, innovation, collaborated with people to understand business need.
Played a role in data engineering projects on cloud platforms like Azure and AWS, making resource allocation more efficient and cutting operational costs.
Collaborated with stakeholders to define business objectives and translated them into measurable KPIs for tracking and evaluation.
Built a data pipeline to process 100 million raw records from 14 data sources, accelerating reporting and analytics capabilities.

Data AnalysisPythonMySQLNumPyPandasPySpark+3