• Employed a combination of SQL and Python scripting to proficiently extract, manipulate, and analyze multifaceted datasets sourced from various channels, encompassing Sales and Revenue, Inventory and Supply Chain, Operational Metrics, Customer and Market Insights, Maintenance and Service Logs, Financial Records, as well as Health, Safety, and Environmental (HSE) Data.• Conceptualized and delivered both tactical and strategic reporting solutions within Power BI, enabling real-time monitoring and evaluation of vital performance metrics.• Executed intricate Extract, Transform, Load (ETL) undertakings, engaging in rigorous data cleansing, intricate manipulation, and seamless integration processes. This fostered data quality and reliability, critical to informed decision-making, within a dynamic business landscape.• Established and managed numerous tables across various platforms such as Teradata and PostgreSQL.

• Conducted group, individual, and virtual instruction sessions for both undergraduate and graduate students, as well as professionals.• Delivered in-depth instructional sessions to job seekers, covering topics such as data cleansing, feature extraction methods, and practical approaches to machine learning encompassing supervised, unsupervised, semi-supervised, and deep neural models.• Offered valuable support and input to numerous candidates venturing into their initial roles as data scientists.• Developed and structured Jupyter notebooks centered around machine learning, replete with tangible illustrations, for the benefit of students.

• Extracted, manipulated, and generated variety of insightful reports using Python and SQL. • Scrubbed and preprocessed the collected data to remove errors, inconsistencies, and missing values through Python libraries like Pandas to handle data cleaning tasks.• Analyzed complex reports involving analysis and interpretation of financial, statistical, and KPIs.• Prepared financial statements, returns, and year-end working papers.• Utilized Power BI to publish and share reports with the business users and other stakeholders. • Analyzed the performance of equity portfolios using metrics like return on investment (ROI) and benchmark comparisons.• Conducted ad-hoc analyses based on specific client requests or to address emerging market trends, using SQL queries and Python scripts.• Collaborated and supported finance teams as required.

I engaged in daily stock trading, focusing on technical analysis, momentum, mean reversion, and breakout strategies. My primary focus was on trading U.S. equities, and I identified opportunities based on broad market, technical, and fundamental analysis.