Operations Associate | 2 Years Experience | Data Analytics, Data Cleaning, Machine Learning

I am a research-driven analyst with 1.5+ years of professional experience at Accenture, where I work with large-scale datasets, SQL, ETL workflows, Excel/VBA automation, quality assurance, and operational analytics. In my current role as a Health Operations Associate, I process and validate 500,000+ records weekly, analyze workflow and business-rule requirements, build automation solutions, and translate complex operational data into accurate, actionable outputs.

Alongside my corporate experience, I have developed a strong interest in research, market intelligence, and data-driven problem solving. I have hands-on experience in both primary and secondary research, survey-based analysis, competitive benchmarking, data cleaning, qualitative response coding, and statistical interpretation. I co-authored a peer-reviewed market study based on 970+ survey responses across Central and Western Mumbai, analyzing customer segments, brand presence, purchasing behaviour, and commercial opportunities. Through this work, I used Excel Pivot Tables, SPSS, structured coding frameworks, and data visualization to transform raw survey responses into meaningful insights.

My academic background in Pharmacy has also developed my ability to read, interpret, and synthesize scientific literature and technical information. I enjoy exploring complex subjects, finding patterns in seemingly disconnected information, and using data to answer questions that do not have straightforward answers.

On the technical side, I work with Python, Pandas, NumPy, SQL, Excel/VBA, Power BI, Tableau, and machine-learning concepts. My projects include a next-day market direction prediction model using historical financial data and a large-scale US accident dataset analysis involving 7 million records and geospatial analysis.

I am particularly interested in opportunities across research, market intelligence, business intelligence, analytics, competitive research, technology, and AI-focused research where I can combine analytical thinking, research skills, technical tools, and curiosity to solve complex problems and produce decision-ready insights.