Experience

Connecticut Transportation Institute- UConn

• United States
• Transportation Programs
• 1 - 100 Employee

• Data Analyst

  • Apr 2022 - Jan 2023

  • Conducted Exploratory Data Analysis (EDA) using Python and R libraries, generating insightful graphs and charts for data-driven decision making, trend identification, and pattern recognition. • Designed and implemented real-time dashboards in Tableau and Power Bl with appropriate KPIs to visualize and monitor internet usage statistics, driving informed decisions and enabling proactive bandwidth upgrade recommendations. • Leveraged Python and SAS to develop time series forecasting… Show more • Conducted Exploratory Data Analysis (EDA) using Python and R libraries, generating insightful graphs and charts for data-driven decision making, trend identification, and pattern recognition. • Designed and implemented real-time dashboards in Tableau and Power Bl with appropriate KPIs to visualize and monitor internet usage statistics, driving informed decisions and enabling proactive bandwidth upgrade recommendations. • Leveraged Python and SAS to develop time series forecasting models, optimize accident locations and delivered 18% improved location accuracy. • Ensured data accuracy, completeness, and consistency through rigorous data validation and quality assurance checks, resulting in reliable insights and recommendations while delivering ad-hoc reports. • Developed predictive models to forecast accident likelihood in specific geographic areas, integrating historical accident data, weather variables, and traffic flow data. Achieved an accuracy rate of 78% in accident prediction. Show less • Conducted Exploratory Data Analysis (EDA) using Python and R libraries, generating insightful graphs and charts for data-driven decision making, trend identification, and pattern recognition. • Designed and implemented real-time dashboards in Tableau and Power Bl with appropriate KPIs to visualize and monitor internet usage statistics, driving informed decisions and enabling proactive bandwidth upgrade recommendations. • Leveraged Python and SAS to develop time series forecasting… Show more • Conducted Exploratory Data Analysis (EDA) using Python and R libraries, generating insightful graphs and charts for data-driven decision making, trend identification, and pattern recognition. • Designed and implemented real-time dashboards in Tableau and Power Bl with appropriate KPIs to visualize and monitor internet usage statistics, driving informed decisions and enabling proactive bandwidth upgrade recommendations. • Leveraged Python and SAS to develop time series forecasting models, optimize accident locations and delivered 18% improved location accuracy. • Ensured data accuracy, completeness, and consistency through rigorous data validation and quality assurance checks, resulting in reliable insights and recommendations while delivering ad-hoc reports. • Developed predictive models to forecast accident likelihood in specific geographic areas, integrating historical accident data, weather variables, and traffic flow data. Achieved an accuracy rate of 78% in accident prediction. Show less



MEDCHEM INTERNATIONAL LIMITED

• India
• Mining
• 1 - 100 Employee

• Sr Data Analyst

  • Jan 2019 - Jul 2021

  • Perform data manipulation, data preparation, normalization, and predictive modeling. Improve efficiency and accuracy by evaluating models in Python and R. • Analyzed and queried the production databases using SQL queries and generated KPIs to send to stakeholders • Used Python and R for programming for improvement of the model. Upgrade the entire model for the progress of the product. • Extensively understanding BI, analytics focusing on consumer and customer… Show more • Perform data manipulation, data preparation, normalization, and predictive modeling. Improve efficiency and accuracy by evaluating models in Python and R. • Analyzed and queried the production databases using SQL queries and generated KPIs to send to stakeholders • Used Python and R for programming for improvement of the model. Upgrade the entire model for the progress of the product. • Extensively understanding BI, analytics focusing on consumer and customer space. • Utilized Spark, Scala, Hadoop, HBase, Kafka, Spark Streaming, MLLib, R, and a wide variety of machine learning methods including classifications, regressions, dimensionality reduction etc. Show less • Perform data manipulation, data preparation, normalization, and predictive modeling. Improve efficiency and accuracy by evaluating models in Python and R. • Analyzed and queried the production databases using SQL queries and generated KPIs to send to stakeholders • Used Python and R for programming for improvement of the model. Upgrade the entire model for the progress of the product. • Extensively understanding BI, analytics focusing on consumer and customer… Show more • Perform data manipulation, data preparation, normalization, and predictive modeling. Improve efficiency and accuracy by evaluating models in Python and R. • Analyzed and queried the production databases using SQL queries and generated KPIs to send to stakeholders • Used Python and R for programming for improvement of the model. Upgrade the entire model for the progress of the product. • Extensively understanding BI, analytics focusing on consumer and customer space. • Utilized Spark, Scala, Hadoop, HBase, Kafka, Spark Streaming, MLLib, R, and a wide variety of machine learning methods including classifications, regressions, dimensionality reduction etc. Show less



MEDCHEM INTERNATIONAL LTD

• India
• Pharmaceutical Manufacturing
• 1 - 100 Employee

• Data Analyst

  • Aug 2018 - Dec 2018

  • Performed Data Profiling to assess data quality using SQL through complex internal database. • Improved sales and logistic data quality by data cleaning using Numpy, Scipy, Pandas in Python. • Designed data profiles for processing, including running SQL, and Procedural/SQL queries and using Python and R for Data Acquisition and Data Integrity which consists of Datasets Comparing and Dataset schema checks. • Used R to generate regression models to provide statistical forecasting. • Performed Data Profiling to assess data quality using SQL through complex internal database. • Improved sales and logistic data quality by data cleaning using Numpy, Scipy, Pandas in Python. • Designed data profiles for processing, including running SQL, and Procedural/SQL queries and using Python and R for Data Acquisition and Data Integrity which consists of Datasets Comparing and Dataset schema checks. • Used R to generate regression models to provide statistical forecasting.



Welding Alloys Group

• United Kingdom
• Manufacturing
• 400 - 500 Employee

• Student Intern

  • Oct 2017 - Oct 2017

  A detailed study on manufacturing metal sheets from metal slabs using different types of cladding processes. Built a prototype model of the manufacturing machine beginning from melting of metal blocks to thin sheets A detailed study on manufacturing metal sheets from metal slabs using different types of cladding processes. Built a prototype model of the manufacturing machine beginning from melting of metal blocks to thin sheets


The KCP Limited
• India
• Building Materials
• 200 - 300 Employee
• Student Intern

  • Mar 2017 - Apr 2017