ISHANT GUPTA
Milton,ON
Summary
Data analytics professional leveraging machine learning, data visualization, and statistical techniques for improved data processing efficiency and accuracy. Focused on driving business growth and success through insightful data-driven solutions. Committed to continuous improvement in data science.
Overview
4
4
years of professional experience
Work History
Sr. Data Analyst
PC Financial
08.2022 - Current
- Gathered a large amount of data, including past transactions, consumer profiles, previous fraud cases to identify patterns and anomalies by means of machine learning algorithms
- Implemented Spark technology to process big data quickly and efficiently, allowing for real-time fraud detection and prevention
- Successfully reduced fraudulent activities and improved customer service by resolving issues related to fraudulent activities.
- Created and automated data visualizations to present insights and tell compelling stories.
Big Data Instructor (Part-Time)
Queens College
01.2022 - Current
- Designed and delivered courses on big data technologies, such as Spark, Hadoop, Python and NoSQL databases
- Developed and managed hands-on projects and assignments to gain practical experience with Big Data tools and techniques
- Provided individualized support and feedback to students to help them achieve their learning goals and careers in Big Data field.
- Skilled at working independently and collaboratively in a team environment.
Research Analyst
McGill University
07.2021 - 07.2022
- Analyzed and organized raw data to evaluate needs and objectives of health care product related clients using machine learning algorithms to provide prescriptive and predictive analytics and successfully reduced musculoskeletal disorders by 8%
- Assessed the design of a new cane by comparing it with existing products
- This evaluation led to a 15% decrease in physiological and biomechanical responses.
Data Analyst
Canada Post Corporation
01.2020 - 02.2022
- Managed the Hadoop cluster database using partitioning techniques, resulting in an 8% increase in sales
- Enhanced the backorder prediction model through deep learning, reducing losses by 7.2%
- Developed a predictive model utilizing polynomial regression to estimate the required number of postal clerks, leading to a 12% decrease in overtime hours
- Conducted data preprocessing on customer feedback to improve services and customer satisfaction, which is expected to generate over 35% growth in sales compared to 2018.
Education
PhD - Industrial Engineering
PEC University of Technology
Master of Science - Industrial Engineering
PEC University of Technology
Skills
- Machine learning
- Programming Languages: Python (Pandas, NumPy, Scikit-Learn, Matplotlib), R, Scala
- Knowledgeable in big data technologies such as Linux, Spark, Hadoop, Tableau, R, PIG, MapReduce, HBASE, HIVE and NoSQL
- Tableau, Cognos Analytics
- MSSQL, PostgreSQL
- Statistical Analysis
- Deep Learning
Timeline
Sr. Data Analyst
PC Financial
08.2022 - Current
Big Data Instructor (Part-Time)
Queens College
01.2022 - Current
Research Analyst
McGill University
07.2021 - 07.2022
Data Analyst
Canada Post Corporation
01.2020 - 02.2022
PhD - Industrial Engineering
PEC University of Technology
Master of Science - Industrial Engineering
PEC University of Technology