Utkarsh Sahaya

Business Development Executive

Chicago, Illinois, United States1 yr 2 mos experience

Key Highlights

Strong foundation in Python and statistical modeling.
Experience in financial report automation and data analysis.
Passionate about applying data science in finance.

Stackforce AI infers this person is a Fintech professional with expertise in data analysis and quantitative finance.

Contact

Skills

Core Skills

Trading InfrastructurePython (programming Language)Statistical Data AnalysisApplied Machine LearningDeep LearningMarket Research

Other Skills

Algorithmic TradingData VisualizationFinancial DerivativesMathematical FinanceMicrosoft PowerPointObject-Oriented Programming (OOP)Probability and StatisticsQuantitative RiskSQLTrading Systems

About

Currently pursuing an M.S. in Financial Economics from Illinois Institute of Technology, Chicago. I have a B.Tech. in Computer Science and Engineering from the Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. Having a strong passion for data science and analysis, particularly in Finance, I have cleared both the levels of Financial Risk Management (FRM). I have a good foundation in programming and a reasonable understanding of Mathematical Finance. I seek to build a career in Quantitative Finance that utilizes my technical skills in Computer Science and my interest in the Financial world. Interested in roles where I can apply my expertise in Python, statistical modeling, and financial engineering to make data-driven decisions in the capital markets. Outside of my work and studies, I enjoy traveling, meeting new people, and getting to know their side of the story. It is always fascinating to explore and understand the world through the eyes of others.

Experience

Miami international holdings

Graduate Intern - IT & Trading Operations

May 2025 – Present · 10 mos · Chicago, Illinois, United States · On-site

Dorman Trading Office of Miami International Holdings (Clearing and Settlements)
Transitioned financial reports from external vendor to in-house Python based system, strengthening compliance, improving data control, and delivering $40,000 in annual cost savings.
Automated daily multiple exchanges position reconciliation using robust Python scripts, eliminating manual effort and providing the clearing team with color-coded Excel reports for rapid exception handling and risk mitigation.
Deployed and tailored PRTG monitoring systems for real-time analytics and automated alerts, enabling proactive server health monitoring.
Initiated integration with Trading Technologies (TT) to enable customers a consolidated, cross-exchange view of Start of the Day (SOD) positions.
Collaborate with Compliance, Finance, and Risk teams, to support a comprehensive IT infrastructure overhaul by writing Python scripts, contributing scalable modernization and audit readiness across workflows.

Python (Programming Language)Trading InfrastructureTrading SystemsStatistical Data Analysis

Lognormal analytics

2 roles

Associate Business Analyst

Apr 2023 – Jun 2024 · 1 yr 2 mos · Hyderabad, Telangana, India · On-site

Worked on online regulated betting data from top companies in Europe.
Extensively worked on Casino data analysis, finding insights and optimal for Return to Player (RTP), Time on Machine (TOM), Volatility, Lifetime Value (LTV), Win Rate, Bet Frequency, and other KPIs, thereby mapping a customer journey analysis which could be used for enhancing the user experience of a new customer in the system.
Briefly worked on data engineering while onboarding a new client, wrote SQL queries to generate most fundamental tables logically, creating a semantic layer serving as the base for data analysis.
Tested a Machine Learning system that suggests bets based on past data patterns of the customer.
Collaborated with cross-functional teams to facilitate data-driven decision-making processes and ensure timely deliverables.
Proficiently used Python libraries including but not limited to polars, pandas, numpy, scipy, scikit-learn, statsmodels.
Hypothesis Testing | Python Data Analysis | Supervised Machine Learning | Data Engineering

Python (Programming Language)Statistical Data AnalysisApplied Machine LearningSQL

Business Analyst Intern

Dec 2022 – Mar 2023 · 3 mos · Hyderabad, Telangana, India · On-site

Worked with a major European betting company as a client, delivering insights using Python data analysis.
Completed tasks including Customer Segmentation Preferences, Cross-sell Recommendation, Active Player Days based Churn Prediction, Skill vs. luck, and Tier-codes segregation of customers.
Received the offer to join as a Full-time Associate Business Analyst based on my performance.
Python Data Analysis | Data Visualization | numpy | pandas | vaex | matplotlib | Basic Probability and Statistics

Python (Programming Language)Data VisualizationStatistical Data Analysis

Indian institute of information technology, design and manufacturing, jabalpur

Undergraduate Student Researcher (Voluntary Position)

Aug 2022 – Nov 2022 · 3 mos · Jabalpur, Madhya Pradesh, India · On-site

Image classification using Deep Learning for Skin Cancer detection and identification on HAM10000 and ISIC image datasets.
Responsible for data pre-processing and Python implementation of research trials, model building, and optimization.
Transfer Learning | Image data pre-processing | Data Visualization

Python (Programming Language)Deep LearningData Visualization

Accenture

Advanced Application Engineering Analyst Intern

Jun 2022 – Jul 2022 · 1 mo · Bengaluru, Karnataka, India

Case study on the client's sustainability goals (a leading insurance firm) versus its competitors.
The result is a presentation report highlighting areas where the client could push its Sustainability efforts.
Received Pre-Placement Offer (PPO) from Accenture to join them as an Advanced Application Engineering Analyst after graduation.
Sustainability Development Goals | Insurance Business Study | Microsoft PowerPoint | Market Research

Market ResearchMicrosoft PowerPoint