Kazi Tanveer Rehaman

About Kazi Tanveer Rehaman

I am a Business Analytics graduate with a strong foundation in SQL, Python, statistics, and applied machine learning, focused on solving business problems through structured, data-driven analysis and clear communication of insights.My background combines analytics, teaching, and consulting-oriented experiences. I have worked across a range of analytical problems, including SQL-based data analysis, statistical modeling, machine learning projects, and interactive Tableau dashboards. My academic and project work includes time series forecasting, regression modeling on noisy real-world data, classification under class imbalance, database design and SQL analytics, and comparative data visualization to support decision-making for non-technical stakeholders.I also bring strong communication and stakeholder-facing experience through my role as a Graduate Teaching Assistant for analytics-intensive courses. In this role, I supported over 400 graduate and undergraduate students across multiple semesters, evaluated analytical assignments and projects, and helped translate complex concepts in statistics, predictive analytics, and data modeling into clear, understandable explanations. This experience strengthened my ability to work at the intersection of technical analysis and business understanding.In industry and consulting-style roles, I have supported data analysis efforts involving structured datasets, business metrics, and operational insights. I am comfortable working with ambiguity, validating analytical results, and explaining assumptions, limitations, and trade-offs behind data-driven conclusions. I value rigor, transparency, and defensibility in analytics, and I prefer practical solutions that align with real business constraints rather than theoretical or buzzword-driven approaches.I am particularly interested in Business Analyst and Data Analyst roles where analytical thinking, SQL-based analysis, data visualization, and stakeholder communication come together to support informed decision-making. I am motivated by roles that require translating data into insights that can be acted upon, and I continuously work on strengthening my analytical and business problem-solving skill set.Currently open to full-time opportunities in business and data analytics.

Experience

1. Data Engineer

   LTIMindtree

   Aug 2024 — Present · Warren, NJ, US

   Completed formal training in analytics and data engineering fundamentals, with hands-on focus on SQL-based data analysis, relational data concepts, and analytics workflows•Analyzed structured datasets using SQL to extract insights, validate data consistency, and support analytical problem-solving tasks during internal assignments and learning initiatives•Gained hands-on exposure to Snowflake through structured training and practice exercises, working with SQL-based querying, schema concepts, and analytics-oriented use cases•Supported a large-scale enterprise migration initiative for a UK-based client following a corporate acquisition by assisting with system setup, access provisioning and end user readiness, to enable smooth transition for project teams

Education

• Kendriya Vidyalaya

  PCM

  2002 — 2014

• Great Lakes Institute of Management

  PGP, Data Science & Engineering

• Kalinga Institute of Industrial Technology, Bhubaneswar

  Bachelor of Technology - BTech, Mechanical Engineering

• University of Maryland - Robert H. Smith School of Business

  Master of Science - MS, Business Analytics