Rohan Verma
Passionate about turning data into decisions | Data Analyst
✨ My Journey So Far
2024 – Google Data Analytics Professional Certificate – Coursera
Completed an end-to-end data analytics project, including data collection, cleaning, and presenting insights using SQL and spreadsheets.
2022 – Systems Engineer – Infosys
Working on data pipeline automation and dashboard development for enterprise clients. Contributed to optimizing ETL processes and collaborated with cross-functional teams.
2022 – Tableau Data Visualization Certification – Coursera
Built interactive dashboards and visual stories. Gained hands-on experience in business intelligence reporting and data storytelling.
2018 – B.Tech in Electrical Engineering – IIT Kanpur
Studied core engineering and data analytics concepts. Engaged in coding sprints and data science club activities. Graduated with distinction.
🧩 Proof of Work
Customer Feedback Analysis – Infosys CX Division
I worked as a Data Analyst at Infosys, Rohan Verma undertook a project aimed at transforming raw customer feedback into actionable business insights for the Customer Experience (CX) division. The project involved analyzing over 15,000 feedback entries collected from surveys, emails, and call transcripts using advanced data analytics tools such as Google Data Studio and Tableau. I applied sentiment analysis techniques using Python’s NLP libraries to classify responses, and created dashboards that highlighted customer pain points, suggestions, and recurring complaints. His analysis directly contributed to a 12% increase in customer satisfaction scores over the next quarter by influencing changes in product support processes and communication strategies. The project I was a prime example of how data can bridge the gap between companies and consumers. Rohan’s ability to clean, interpret, and visualize data gave stakeholders real-time access to customer sentiment and experience metrics. I presented the findings to department heads, facilitating a culture of data-backed decision-making across the CX vertical.
Read more →Market Trend Prediction Model
I worked on a self-initiated project, Rohan Verma developed a predictive analytics model that forecasts market trends using a hybrid approach of technical indicators and machine learning algorithms. The goal of the project I was to empower decision-makers in the retail sector with foresight into short and mid-term market shifts. Using datasets from Kaggle and historical sales records, he built a regression model leveraging Random Forest and XGBoost to detect patterns across price movements, consumer demand cycles, and seasonal trends. The model incorporated macroeconomic indicators such as interest rates and inflation to improve prediction accuracy. Rohans expertise in Google Data Analytics I was evident in the meticulous data cleaning, transformation, and model validation phases. His insights were summarized through dynamic dashboards that could simulate possible outcomes under different economic scenarios. This model not only showcased his technical proficiency but also reflected his strong business acumen and understanding of real-world market behavior. The project I was presented at a knowledge-sharing session within Infosys’ analytics team and received acclaim for its practical applicability.
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