Tushar Ahuja

About Tushar Ahuja

I am a Financial Data Scientist & Analytical professional with 4+ years of experience turning raw data into predictive insights and measurable impact across finance, operations, and risk management. Skilled in Python, SQL, R, ML, GenAI, RAG systems, and advanced visualization (Tableau, Power BI), I specialize in building AI-driven forecasting models, automated dashboards, and decision-support engines that help organizations unlock value.Key Achievements* Boosted forecast precision (+18%) and reconciliation accuracy (+30%) with advanced statistical models.* Automated reporting workflows, reducing month-end close time by 20–30% and enabling real-time KPI monitoring.* Strengthened vendor risk monitoring with a 22% higher detection rate and 18% lower operational risk.* Designed AI-powered workforce & financial models, projecting $50M+ in savings for Goldman Sachs’ $500M Dallas campus expansion initiative.* Developed a predictive trading algorithm for NIFTY-50, achieving a consistent 50% win rate with sentiment analysis and real-time automation, now under strategic collaboration discussions with D. E. Shaw ($1.2M+ acquisition interest).Recognition & Growth* Harvard Business School (Executive Education) – Financial Strategic Analysis.* Recognized at Yeshiva University Conference for “industry-disruptive” predictive finance algorithms.* Certified in Google Data Analytics, AWS Cloud, LLM Engineering and Microsoft Azure Data Science.Hold an MS in Data Analytics & Visualization (Yeshiva University, New York City - USA).My MissionI combine data, intelligence, and creativity to solve real-world problems. From building robust data pipelines as a software engineer to designing AI systems that adapt, reason, and scale, I’ve consistently pursued one goal: Make AI useful, human-centered, and impactful.Currently, I’m exploring next-gen AI systems - from GenAI assistants that guide students to agentic AI enabling multi-step financial reasoning. My vision is to contribute to the future of trustworthy AI conversational systems, predictive engines, and decision-support tools that empower businesses and individuals alike.Always open to opportunities and collaborations at the intersection of Data, Finance, and AI Innovation. Let’s connect!

Experience

1. Financial Analyst

   Dreamline Ai

   Feb 2026 — Present · Miami, FL, US

   Collected, mined, and structured data from primary and secondary sources, transforming raw datasets into analysis-ready formats for business and machine learning use cases.• Applied statistical tools and programming (SQL, Python, R) to identify trends, patterns, and anomalies for predictive and diagnostic analytics.• Interpreted financial and operational data in the context of local, national, and global market trends to support strategic decision-making.• Developed executive-level reports and dashboards translating complex data insights into clear, actionable business recommendations.• Leveraged strong statistical foundations and analytical tools (Excel, SQL, Python, R) to process and analyze large-scale datasets with accuracy and efficiency.• Evaluated complex datasets to generate actionable insights that improved reporting quality and supported data-driven decisions.• Communicated analytical findings to non-technical stakeholders through clear visualizations, summaries, and presentations.

Education

• Yeshiva University

  Master's degree, Data Analytics and Visualization

• V.M. Public School, Pilibanga

  High School Diploma, 11th-12th

  2016 — 2018

• Blossom Academy, Suratgarh

  Middle School Diploma

  2004 — 2015

• Chitkara University

  Bachelor of Technology - BTech, Computer Science