I am a passionate data enthusiast with expertise in Analytics, Machine Learning, and Statistical Modeling. With a Master’s degree in Analytics from Northeastern University, Toronto. I specialize in transforming complex datasets into compelling narratives that drive informed decision-making. Proficient in Python, R, SQL, Tableau, and Power BI. I thrive on using data as a tool for innovation. Always eager to learn and collaborate, I’m driven by the power of analytics to shape the future.
0 + Projects completed
Experienced Data Analyst skilled in managing and validating securities data to ensure accurate and timely delivery. Strong ability to resolve discrepancies, collaborate with cross-functional teams, and maintain high-quality service standards to meet client requirements. Proficient in R, Python, SQL, and business intelligence tools such as Tableau and Power BI, with a proven ability to deliver data-driven insights and solutions in high-impact environments.
Canadian Western Bank (CWB) was a financial institution that provided specialized banking services to businesses and individuals across Canada, focusing on commercial banking, equipment financing, real estate lending, and wealth management.
Sofvie, Its an all-in-one solution tailored to enhance safety, engagement, and performance across all levels of the mining industry.
CONTINIX is a global IT services company that helps organizations transform how they compete and win by helping them turn ideas into valuable insights, predictions, and products.
Majors: Statistical Modeling, Business Analysis, Predictive Analytics, Machine Learning
Grade: 3.5/4.0
Majors: Big Data Analytics, Internet of things, Cyber Security, Networking
Grade: 7.25/10 (First class with disctinction)
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
My Tableau analysis shows 75% of nations use PWRs, with Russia leading at 72,370 MWe, highlighting nuclear’s key role in clean energy.
The US auto market shows 448M cars sold, Ford leading, automatics dominating, and California as the top-selling state.
This project used machine learning to predict hazard completion times, improving workplace safety through proactive incident management.
This project employs predictive analytics to determine the factors influencing employee promotions and identify individuals most likely to be promoted.
Below are the my Achievements and Certificates.
Tableau
Below are the details to reach out to me!
Toronto, Canada