ZKZankar Kulkarni
@zankarkulkarni
Experienced data analyst specializing in machine learning and data visualization.
CanadaWhat I'm looking for
With over 6 years of experience in data analysis, I specialize in utilizing SDLC methodologies, including Agile and Waterfall, to derive actionable insights through statistical modeling, machine learning, and data mining techniques. My proficiency in Python and SQL allows me to enhance decision-making processes by applying advanced data-driven techniques such as association rules, clustering, and regression.
Throughout my career, I have developed a strong expertise in data visualization tools like Tableau and Power BI, enabling me to present complex data insights clearly to stakeholders. My extensive knowledge of relational and NoSQL databases, including MySQL, MongoDB, and PostgreSQL, has equipped me to manage and analyze large datasets effectively. I am also skilled in cloud platforms such as AWS and Microsoft Azure, which support scalable data solutions and collaborative analysis.
Experience
Work history, roles, and key accomplishments
Data Analyst
Wealthsimple
Jun 2023 - Present (2 years 1 month)
Automated data pipelines using Python and Apache Airflow to streamline financial data ingestion and processing, reducing manual effort and improving data consistency for portfolio analysis. Conducted Exploratory Data Analysis (EDA) on historical asset performance data to identify factors influencing returns and risk, leading to actionable insights that enhanced portfolio strategy and decision-maki
Data Analyst
Softage
Jun 2020 - Jun 2022 (2 years)
Extracted and transformed sales and pricing data using SQL and Python, improving data accuracy and reducing processing time for efficient price optimization and revenue forecasting. Developed and optimized T-SQL queries using Joins, Aliases, Functions, Triggers, and Indexes to query large datasets, significantly improving query performance for faster pricing analysis.
Jr. Data Analyst
NextGen Healthcare
May 2017 - May 2020 (3 years)
Utilized Python (Pandas, NumPy) to perform in-depth data analysis on EHR systems, manipulating and processing large volumes of patient records to derive insights and identify integration gaps. Developed SQL queries to extract, transform, and load (ETL) EHR data from multiple sources, improving data accessibility for reporting and analysis.
Education
Degrees, certifications, and relevant coursework
LULakehead University
Master of Science, Electrical and Computer Engineering
Pursued advanced studies in Electrical and Computer Engineering, focusing on specialized topics within the field. Developed a strong foundation in complex engineering principles and problem-solving methodologies.
PUPune University
Bachelor of Electrical Engineering, Electrical Engineering
Completed a Bachelor's degree in Electrical Engineering, gaining foundational knowledge in electrical systems and design. Engaged in coursework covering core engineering concepts and practical applications.
Tech stack
Software and tools used professionally
Availability
Location
CanadaAuthorized to work in
Job categories
Skills
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