Sandeep Rajpurohit
Data Scientist at Auric Motors || Python || SQL || Power Bi || Microsoft Excel || Data Scientist || Machinne Learning
- Role
- Data Analyst at Auric Motors
- Location
- Jaipur, RJ, IN
- LinkedIn followers
- 500 followers
About Sandeep Rajpurohit
As a Data Analyst at Auric Motors, I specialize in transforming raw data into meaningful insights that drive business decisions. Over the past year, I have automated 60% of repetitive data cleaning tasks using Python, significantly speeding up monthly reporting and enabling faster access to accurate data. I also developed a machine learning model with 85% accuracy to predict vehicle booking cancellations, helping the team prioritize retention efforts and minimize revenue leakage.To strengthen data infrastructure, I designed and managed a centralized MS SQL Server database and built ETL pipelines using SSIS, reducing report preparation time by 25%. I further enhanced analytics by building daily scraping pipelines that collect data from Google Trends, news feeds, and social platforms, combined with NLP-based address cleaning, which improved customer location mapping accuracy by 30%.Using Power BI, Python, and SQL, I created an interactive customer segmentation dashboard that contributed to a 15% increase in targeted sales campaigns. Recently, I began exploring Generative AI and LLM-based solutions, building a query-based internal assistant using LangChain, RAG, and Ollama models to enable quicker access to insights.
Experience
Data Analyst
Feb 2024 — Present · Jaipur, IN
As a Data Analyst at Auric Motors, I have led multiple initiatives in data automation, predictive analytics, and dashboard development. I automated repetitive data cleaning workflows using Python, reducing manual effort by 60% and accelerating monthly reporting. I built a vehicle booking cancellation prediction model with 85% accuracy, enabling proactive customer engagement and minimizing potential revenue loss.To improve data infrastructure, I designed and managed a centralized MS SQL Server database and implemented SSIS-based ETL pipelines, cutting report preparation time by 25%. I also developed daily scraping pipelines for automobile-related tweets, Google Trends, and news sources, integrating them with an NLP-powered address cleaning system that enhanced customer mapping accuracy by 30%.Additionally, I created an interactive customer segmentation dashboard using Python, SQL, and Power BI, which contributed to a 15% increase in targeted sales campaigns. Recently, I began experimenting with Generative AI, leveraging LangChain, RAG, and Ollama models to build a query-based internal assistant, enabling faster access to business insights.
Education
Rajasthan Technical University, Kota
Bachelor of Technology - BTech, Mechanical Engineering
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