Reading & Continuous Learning
Raj Baghel
Product Analyst
Bengaluru
Summary
Data without context holds no value. I thrive in collaborating with business leaders, leveraging data to solve crucial challenges. As a Product Analyst, I've honed technical and business skills to drive product success, optimized decision-making, and implemented efficient data pipelines. My expertise lies in translating data into actionable insights that foster product enhancement, operational efficiency, and strategic growth.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
Work History
Product Analyst
LEAD School (Leadership Boulevard Private Limited)
Bengaluru
06.2022 - 10.2023
- Market Research & Product Development: Identified education gaps through extensive market research and translated findings into product requirements, driving a 30% boost in user engagement and satisfaction.
- Data-Driven Decision-Making: Developed Python, SQL, and Tableau/Looker Studio-powered product performance dashboards, saving 36 hours/month of manual effort and empowering real-time data insights for swift decisions.
- Data Pipeline Prodigy: Spearheaded the implementation of an automated data pipeline, ensuring real-time data updates and enhanced accessibility across the organization.
- Predictive Analytics for Churn Reduction: Implemented a predictive analytics model to identify at-risk schools, leading to a significant 20% reduction in school churn rate.
- Enhancing Student Engagement & Learning: Leveraged user behavior data to provide actionable insights to the development team, driving a 15% increase in platform usage and 10% improvement in student quiz scores.
- Sales Optimization through Data Analysis: Collaborated with sales, analyzing user engagement patterns, and identifying upselling/cross-selling opportunities, resulting in a notable 18% increase in average revenue per customer.
Co-Founder
EngiTribe
Pune
05.2021 - 06.2022
- Entrepreneurial Pursuit: Initiated and led the conceptualization of an educational eBook startup, focused on enhancing students' learning experiences.
- Team Leadership: Spearheaded a collaborative team effort, demonstrating leadership and organizational skills.
- Strategic Planning: Developed a comprehensive business plan, outlining objectives, target audience, and marketing strategies.
- Skill Enhancement: Utilized the opportunity for continuous learning, enhancing problem-solving skills, resilience, and strategic thinking.
Solution Engineer, Analytics
eGain Corporation
Pune
05.2020 - 05.2021
- Data Visualization Prodigy: Empowered product decisions by creating revenue and utilization dashboards in Tableau, saving 8 hours/week of manual work.
- Data Efficiency Booster: Streamlined internal channels data using Excel, SQL, and Python, cutting IT work tickets by 19% with 40+ actionable recommendations.
- Strategic Data Collaborator: Partnered with finance, sales & ops teams, utilized Python clusters to boost renewals by 8% and profitability by 11%.
- Analytics & Insights Architect: Mined and analyzed 99% of purchase funnel, churn, retention, and more, driving data-led marketing strategies and production improvements.
- Cloud-First Data Transformer : Led the creation of a high-speed data ingestion system with Python, SQL, and Spark, elevating platform processing by 25%.
- Customer Satisfaction Alchemist : Identified platform bottlenecks and optimized navigation, enhancing new customer satisfaction by 30%.
Education
Post Graduation Diploma - Big Data Analytics
C-DAC (IACSD)
Pune (M.H.) 02.2019 - 01.2020
Bachelor of Engineering - Electronics & Communication
Government Engineering College
Rewa (M.P.) 08.2014 - 06.2018
Skills
Programming: Python (NumPy, Pandas, scikit-learn, NLTK, PandaSQL)
Interests
Technology & Innovation
Art & Music
Timeline
Product Analyst
LEAD School (Leadership Boulevard Private Limited)
06.2022 - 10.2023
Co-Founder
EngiTribe
05.2021 - 06.2022
Solution Engineer, Analytics
eGain Corporation
05.2020 - 05.2021
Post Graduation Diploma - Big Data Analytics
C-DAC (IACSD)
02.2019 - 01.2020
Bachelor of Engineering - Electronics & Communication
Government Engineering College
08.2014 - 06.2018
Additional Information
- Communication
- Collaboration
- Problem Solving
- Adaptability/Flexibility
- Leadership
- Time Management
Personal Projects
Election Result Prediction using Twitter Sentiment Analysis.
(12/2021 - 01/2022)
- Platform: Machine Learning.
- Description: The proposed system mainly focus on collection of tweets to make volume analysis to the popular days of election; a trend analysis to a popular or trending party/candidate and a sentiment analysis to actually bifurcate the positive and negative tweets for the party/candidate.
- This project work can help the party/candidate to act accordingly to improve their reputation and at the same time to help user to actually make a clear opinion about any party/candidate prior to vote.
- The sentiments analyzed covers different user-reactions not only restricted to positive or negative sentiments but covers an in-depth analysis of various positive and negative moods along with the results of different ML models.
Analysis of Aadhaar Dataset using Big Data Technologies.
(05/2019 - 06/2019)
- Platform: Hadoop(Hive, MapReduce), Spark, Tableau.
- Description: The proposed system concentrates on analyzing Aadhaar related data using Hadoop and Spark to extract the meaningful knowledge for the purpose of better decision making by the Government of India via a comparison between MapReduce and Spark in terms of execution and processing rate.
- This project work proposes the inconsistencies and fluctuations in enrollments based on demographics, ages, genders and the reaction of State and Central Governments and habitants of states and country.
Personal Projects
Election Result Prediction using Twitter Sentiment Analysis.
(12/2021 - 01/2022)
- Platform: Machine Learning.
- Description: The proposed system mainly focus on collection of tweets to make volume analysis to the popular days of election; a trend analysis to a popular or trending party/candidate and a sentiment analysis to actually bifurcate the positive and negative tweets for the party/candidate.
- This project work can help the party/candidate to act accordingly to improve their reputation and at the same time to help user to actually make a clear opinion about any party/candidate prior to vote.
- The sentiments analyzed covers different user-reactions not only restricted to positive or negative sentiments but covers an in-depth analysis of various positive and negative moods along with the results of different ML models.
Analysis of Aadhaar Dataset using Big Data Technologies.
(05/2019 - 06/2019)
- Platform: Hadoop(Hive, MapReduce), Spark, Tableau.
- Description: The proposed system concentrates on analyzing Aadhaar related data using Hadoop and Spark to extract the meaningful knowledge for the purpose of better decision making by the Government of India via a comparison between MapReduce and Spark in terms of execution and processing rate.
- This project work proposes the inconsistencies and fluctuations in enrollments based on demographics, ages, genders and the reaction of State and Central Governments and habitants of states and country.
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