Prashant Maske
E05 8-1 Taloja, Sector 37
Summary
Highly experienced Data Scientist and Data Engineer with over 9 years of expertise in interpreting and analyzing data to drive growth across various sectors, including Education, Internet, Telecom, Power, and Green Energy. Proficient in leveraging Python for machine learning and statistical analysis, and skilled in developing interactive visualizations using Power BI to support strategic decision-making. Adept at collaborating with stakeholders to deliver actionable insights and optimize business processes.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Data Scientist (Manager)
ADANI GREEN ENERGY
10.2021 - Current
- Developed and implemented machine learning and AI models to enhance business processes in the renewable energy sector
- Collaborated with stakeholders to identify asset performance factors affecting revenue and implemented predictive models to optimize operations
- Led automation initiatives using Power BI, resulting in a 90% reduction in manual reporting efforts and improved data-driven decision-making
- Received Spot Recognition (Silver Coin) from the CEO for the successful implementation of a wind portfolio performance dashboard, enhancing performance monitoring and strategic decision-making
- Conducted feature engineering activities such as variable selection and transformation for building effective prediction models
- Provided technical support for deploying trained machine learning models into the production environment
- Developed a Data Digital Twin project to create a virtual replica of renewable energy assets, enabling real-time monitoring and predictive maintenance to enhance operational efficiency and reduce downtime
- Implemented a project to optimize DSM loss and revenue loss using short-term forecasts by integrating weather monitoring data with machine learning and AI, leading to improved accuracy in energy production forecasts and better revenue management
- Developed additional projects including real-time energy consumption dashboards and predictive maintenance models for renewable energy assets.
Data Science Analyst (Assistant Manager)
L&T POWER
10.2019 - 09.2021
- Applied machine learning techniques to predict logistics prices, reducing manual efforts by 40% and improving accuracy
- Created Power BI dashboards to visualize insights and support data-driven decisions
- Utilized time series forecasting to predict steel prices, optimizing procurement strategies
- Managed and maintained a Big Data Hadoop Cluster and Data Lake for real-time data processing and analysis
- Developed presentations with clear visualizations to explain complex data insights to non-technical stakeholders
- Created multiple initiatives for the Buxar project, leading to the team winning the Digital Excellence Awards in January 2021
- Developed additional projects including a logistics optimization model and a real-time monitoring system for power plant performance.
Data Analyst & Data Engineer
DVOIS COMMUNICATION (ISP)
01.2017 - 09.2019
- Conducted market analysis and developed churn prediction models, resulting in a 30% decrease in customer churn and increased sales
- Utilized Python and Spark for data scraping, cleaning, and analysis of large datasets
- Developed dashboards in Qlik Sense, integrating data from multiple sources to monitor sales performance and reduce costs
- Established and maintained a 10-node Big Data Hadoop Cluster and Data Lake for data processing and analysis
- Developed additional projects including a customer segmentation model and a network performance monitoring system.
Big Data Engineer and Research Scholar
AEGIS SCHOOL OF DATA SCIENCE
08.2015 - 12.2016
- Conducted call drop analysis and sentiment analysis projects in the telecom industry using NLP techniques
- Played a key role in setting up the Aegis Big Data Product Factory, advancing research and development in big data and machine learning
- Developed additional projects including a social media sentiment analysis tool and a predictive analytics model for telecom service optimization.
Education
MTech in Computer Science and Programming -
SGGS IE&T Nanded
08.2015
BE in Computer Engineering -
University of Pune
07.2012
Skills
- Programming Languages: Python, UNIX shell scripting, R, C, C
- Data Visualization: Power BI, Qlik Sense, d3js, Superset
- Big Data Technologies: Hadoop, Hive, Sqoop, Yarn, Flume, HDFS, MapReduce, Pig
- Data Science: Machine Learning, AI, Deep Learning, Statistical Analysis
Certification
- Microsoft Power BI Data Analyst
- Hadoop Development
- Machine Learning
Languages
Marathi
Bilingual or Proficient (C2)
Hindi
Advanced (C1)
English
Upper intermediate (B2)
Timeline
Data Scientist (Manager)
ADANI GREEN ENERGY
10.2021 - Current
Data Science Analyst (Assistant Manager)
L&T POWER
10.2019 - 09.2021
Data Analyst & Data Engineer
DVOIS COMMUNICATION (ISP)
01.2017 - 09.2019
Big Data Engineer and Research Scholar
AEGIS SCHOOL OF DATA SCIENCE
08.2015 - 12.2016
MTech in Computer Science and Programming -
SGGS IE&T Nanded
BE in Computer Engineering -
University of Pune