Jnr. Data Scientist (MSc Data Science)

OTHNIEL J. ADU MENSAH

**Lincoln Terrace Yonkers, NY 10701 347-***-**** *********@*****.***

PROFILE

Data Scientist with an M.S. in Data Science and an engineering background, combining Python, SQL, statistical modeling, machine learning, time-series forecasting, and business analytics to solve data-driven problems. Experienced in analyzing healthcare, operational, customer, and large-scale structured datasets; developing predictive models; validating data quality; and building AI-driven analytical applications. Hands-on experience with LSTM and VAR forecasting, Random Forest and Gradient Boosting models, GenAI and retrieval-augmented systems, and data visualization. Strong record of translating technical analysis into practical business and operational decisions while working with cross-functional teams. CORE TECHNICAL SKILLS

Programming: Python, SQL, R, MATLAB

Machine Learning: Scikit-learn, Random Forest, Gradient Boosting, Regression, Classification, Feature Engineering, Model Validation, Hyperparameter Tuning

Statistical & Econometric Modeling: Statistical Analysis, Predictive Modeling, Time-Series Forecasting, LSTM, VAR, Granger Causality, Impulse-Response Analysis

Data Engineering: dbt, Snowflake, ELT Pipelines, Data Modeling, Git, Data Quality Testing, Workflow Orchestration Data Warehousing: Star Schema, Snowflake Schema, OLAP, Fact/Dimension Modeling AI & Generative AI: LLMs, RAG, Vector Search, LangChain, LLM Evaluation, Generative AI, FastAPI Cloud & Tools: AWS, Databricks, Jupyter, GitHub

Scientific Computing: Pandas, NumPy, SciPy

Visualization & Analytics: Tableau, Power BI, Excel, Matplotlib, Seaborn, D3.js, ggplot2Healthcare & Domain: EMR Systems

(Epic, Cerner, Safe-Trace), Healthcare Data, Operational Modeling, Big Data PROFESSIONAL EXPERIENCE

New York -Presbyterian Hospital. Apr 2023 - Present Lab Operations & Data Management Coordinator

• Integrate and validate healthcare records across Epic, Cerner, and Safe-Trace, improving data accuracy, consistency, and reliability for downstream clinical and operational reporting.

• Perform data quality checks and discrepancy analysis across healthcare systems, identifying inconsistencies, investigating root causes, and documenting issues to reduce data-related errors.

• Analyze clinical and operational workflows to identify process inefficiencies and data-related bottlenecks, supporting improvements in turnaround times and reporting reliability.

• Maintain high standards of data integrity, documentation, and validation within a regulated healthcare environment, ensuring information is accurate and suitable for operational decision-making.

• Adapt to changes in clinical software, data requirements, and operational workflows, maintaining accurate records and consistent data processes while collaborating across clinical and administrative teams. Mindrift. Oct 2025 - Present

Al Analyst

• Evaluate thousands of large language model outputs for accuracy, completeness, reasoning quality, and consistency, identifying patterns in model failures and data-quality issues.

• Apply structured evaluation criteria and error-detection methods to assess AI-generated responses and support improvements to model-training and reasoning workflows.

• Document model logic failures and recurring output-quality issues, providing structured feedback used to improve evaluation and annotation standards.

• Analyze complex model responses and translate technical findings into clear documentation for teams working on AI data and model-quality processes.

Tropical Cables & Conductors Ltd

Data Analyst – Marketing (Supervisor)

• Built a custom CRM analytics system to monitor customer activity, identify sales patterns, and support sales forecasting, generating $550,000 in revenue within eight months and exceeding the annual target by 20%.

• Applied Excel analysis, including VLOOKUP and PivotTables, together with Salesforce data to identify customer behavior and prioritize sales opportunities.

• Analyzed customer and market information to support account development, product positioning, and revenue-generating decisions across industrial and institutional markets.

• Worked directly with department heads, institutions, contractors, retailers, government stakeholders, and industry organizations to understand business requirements and communicate data-informed product recommendations.

• Coordinated technical installations and engineering requirements with customers, vendors, and contractors, maintaining compliance and completing projects without reported failures. LET SOLUTION GHANA — Koforidua, Ghana Sept 2017 – Dec 2019 Installation Engineer / Programs Manager

• Installed and maintained structured cabling, telecommunications connections, and IT equipment for commercial and institutional clients.

• Coordinated vendors, contractors, and technical teams to deliver compliant installations and resolve infrastructure issues.

• Led project teams of up to six members, organizing installation activities and improving the efficiency of building-wide wiring and network deployments.

• Troubleshot technical issues, performed system upgrades, and evaluated infrastructure requirements to maintain reliable service delivery.

• Translated client requirements into practical technical designs and coordinated implementation from planning through completion.

ALL NATIONS UNIVERSITY — Koforidua, Ghana Mar 2014 – Dec 2021 Digital Systems & Engineering Specialist 2019 – 2021

• Designed, developed, and tested digital systems and electronic prototypes, applying embedded systems, circuit design, troubleshooting, and system integration principles.

• Led practical engineering projects involving microcontrollers, sensors, digital logic, hardware integration, and system testing.

• Supported students and faculty in troubleshooting electronic systems, evaluating technical designs, and documenting project requirements and results.

Engineering Lab Coordinator 2016 – 2019

• Coordinated engineering laboratory operations, equipment, technical resources, and hands-on projects for approximately 30 students.

• Developed laboratory exercises covering digital electronics, microcontrollers, instrumentation, circuit analysis, and system integration.

• Supervised student engineering projects from design and prototyping through testing, troubleshooting, and documentation.

• Managed laboratory resources and supported the implementation of practical engineering coursework and technical workshops. Engineering Lab Instructor 2014 – 2016

• Delivered hands-on instruction in digital electronics, electronics systems, circuit analysis, and laboratory experimentation.

• Guided students through the design, assembly, testing, and troubleshooting of electronic circuits and digital systems.

• Conducted laboratory demonstrations and evaluated student projects based on technical performance, testing results, and documentation.

Department of Urban Roads. Sep 2011 – Sep 2012

Data Analyst

• Collected and analyzed transportation datasets to support infrastructure planning and government decision-making.

• Applied statistical analysis to traffic-count data collected across major road intersections, identifying patterns used to inform transportation planning.

• Used Excel, SQL, and AutoCAD to organize datasets, prepare analytical reports, and communicate findings to transportation policy teams.

• Worked as part of a four-person field team responsible for collecting vehicle counts across multiple road entry and exit points. RELEVANT PROJECT EXPERIENCE

LSTM Forecasting for Market Behavior – Time Series Modeling Time-Series Modeling Python TensorFlow Keras

• Developed an LSTM deep-learning model to forecast S&P 500 market responses to external shocks using historical time-series data.

• Performed feature engineering, model training, hyperparameter tuning, and validation to improve forecasting performance.

• Evaluated model performance using MAE and RMSE and conducted error analysis to identify areas for improvement.

• Applied time-series modeling concepts to a financial forecasting problem involving sequential and potentially non-linear market behavior.

Tariff Recommendation System

Generative AI Python FastAPI LangChain RAG

• Developed an end-to-end AI-driven decision-support application to automate tariff analysis across policy documents and structured datasets.

• Integrated CSV, Excel, JSON, and PDF sources into a unified analytical workflow, improving consistency and traceability of information used by the application.

• Implemented retrieval-augmented generation and vector search to retrieve relevant information and generate context-based tariff recommendations.

• Built the application using Python, FastAPI, LangChain, and LLM technologies, demonstrating practical application development and emerging AI techniques.

Inflation & Interest Rate Forecasting

Statistical & Econometric Modeling Python VAR

• Built a Vector Autoregression (VAR) model to analyze and forecast interactions among multiple economic variables.

• Conducted Granger causality testing to evaluate predictive relationships between variables.

• Performed impulse-response analysis to examine how changes in one economic variable affected others over time.

• Applied multivariate statistical modeling to an economic forecasting problem relevant to financial and business analytics. Flight Delay Prediction - Large Dataset Modeling

Machine Learning Python Scikit-learn

• Applied Random Forest, Gradient Boosting, and regression models to predict flight delays using a large structured dataset.

• Performed feature engineering, data preparation, class-balancing techniques, and model comparison to improve predictive performance.

• Evaluated competing models and analyzed prediction results to determine appropriate approaches for the classification and forecasting problem.

EDUCATION

Pace University — New York, NY

Master of Science in Data Science

Kwame Nkrumah University of Science and Technology Bachelor of Science in Electronics and Communication Engineering CERTIFICATIONS

• IBM Deep Learning with TensorFlow

• Cornell University Machine Learning & Al

• Data Visualization with R

• Licensed Engineer (IET Ghana)

• PMI Agile Certified Practitioner

• Cousera Project Management Foundations, Initiation and Planning PUBLICATION

Microcontroller-based Code Lock with Remote Monitoring System, ANUJAT May 2015

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