Summary
Overview
Work History
Education
Software
Accomplishments
Timeline
Generic

Sumanlata Ghosh

Associate Data Analyst | Lecturer
Buffalo,NY

Summary

Experienced data and technology professional with over 11 years of experience across software development, data analytics, research, and higher education instruction, with hands-on experience working with financial, higher education, and healthcare datasets. Skilled in analyzing complex and multidimensional data, developing data-driven solutions, supporting predictive and statistical analysis, managing databases, and translating technical findings into actionable insights for diverse stakeholders. Career experience as a Software Developer, Associate Data Analyst, and Professor has built a strong combination of technical expertise, analytical problem-solving, leadership, mentoring, and communication skills. Knowledgeable in health informatics, electronic health records, clinical data standards, interoperability, data governance, and AI applications in healthcare, with a strong commitment to continuous learning, innovation, and professional growth.

Overview

5
5
years of post-secondary education
13
13
years of professional experience

Work History

Associate Data Analyst

State University of New York, Buffalo State University
05.2019 - Current
  • Develop classification models to estimate each student’s probability of persistence and identify students at elevated risk of non-persistence using Logistic Regression, K-Nearest Neighbors (KNN), Decision Trees, Random Forest, XGBoost, and LightGBM on large, longitudinal student datasets.
  • Apply explainable AI techniques, including SHAP, to identify the top three factors contributing to non-persistence for each high-risk student, enabling advisors and completion coaches to better understand individual risk patterns and provide more targeted support.
  • Conduct sentiment analysis and text mining on student comments collected from external websites and online sources using natural language processing techniques and tools including BERT, VADER, and TextBlob to classify sentiment, identify recurring themes, and evaluate student perceptions and concerns.
  • Integrate university student and graduate data with New York State Department of Labor (NYSDOL) workforce and occupational datasets to evaluate education-to-employment outcomes, analyze program-to-career alignment, and better understand how academic preparation translates into labor-market opportunities.
  • Extract, integrate, transform, validate, and analyze large datasets from multiple institutional and external data sources using Oracle SQL, Python, SAS, SPSS, and Excel while maintaining data quality, privacy, confidentiality, and governance standards.
  • Conduct statistical, descriptive, longitudinal, and outcome analyses to evaluate student persistence, retention, academic performance, enrollment trends, intervention effectiveness, and other institutional performance measures.
  • Develop interactive Tableau dashboards and analytical reports using SQL and institutional data to provide academic and administrative leadership with actionable insights into student outcomes, enrollment, academic performance, workforce outcomes, and faculty/staff metrics.
  • Develop time-series forecasting models in Python using ARMA, ARIMA, Prophet, and TBATS to project future student enrollment and support institutional planning, resource allocation, and preparation for incoming cohorts.
  • Build and deploy analytical and predictive modeling workflows using Python and cloud-based computing environments, including AWS EC2, to support scalable data processing, model development, and advanced analytics.
  • Collaborate with academic leadership, faculty, advisors, student-support teams, and other cross-functional stakeholders to translate complex research and business questions into analytical solutions and communicate findings to both technical and non-technical audiences.

Lecturer

State University of New York, Buffalo State University
08.2019 - Current
  • Conduct graduate-level courses in Introduction to Data Science and Machine Learning in Python for 15–20 students each Fall and Spring semester, covering Excel, SQL, Python, data visualization, statistical analysis, and applied machine learning.
  • Deliver hands-on instruction in regression, classification, clustering, time-series forecasting, natural language processing, sentiment analysis, and other machine learning techniques, emphasizing practical implementation and interpretation of analytical results.
  • Design and supervise applied data science and machine learning projects using real-world datasets, guiding students through data preparation, exploratory analysis, feature engineering, model development, evaluation, visualization, and presentation of findings.
  • Mentor students on projects spanning healthcare and other domains, including tumor detection, life expectancy analysis, hospital bill prediction, blood test outcome prediction, flight delay prediction, weather forecasting, crime data prediction, and healthy-food clustering using FDA data.
  • Provide technical mentoring to students with diverse backgrounds, helping them translate real-world research and business problems into data-driven solutions while developing strong programming, analytical, and communication skills.

Research Assistant

University At Albany, SUNY
08.2018 - 05.2019
  • Conducted research on client-side secure image deduplication using the DICE protocol, developing a privacy-focused approach for identifying duplicate image files through cryptographic hash comparisons.
  • Implemented an AES-encrypted data storage and file-deduplication system using AWS S3, Amazon RDS (MySQL), and EC2, integrating secure cloud storage, database management, and server-side processing.
  • Designed and developed the data-processing engine in Java using built-in cryptographic libraries to support encryption, hashing, file comparison, and secure data-management workflows.
  • Developed a web-based front end using HTML and CSS to provide users with a streamlined interface for interacting with the secure image-storage and deduplication system.
  • Contributed to research resulting in the project “Client Side Secure Image Deduplication Using DICE Protocol,” published through IEEE.
  • Client Side Secure Image Deduplication Using DICE Protocol [https://ieeexplore.ieee.org/abstract/document/8397045]

Teaching Assistant

University At Albany, SUNY
08.2018 - 12.2018
  • Provided hands-on instruction and technical support in Java and Python to approximately 120 students, helping strengthen programming, problem-solving, and software development skills.
  • Collaborated with faculty to prepare instructional materials, support lesson planning, and reinforce course objectives through labs, exercises, and guided practice.
  • Mentored students through programming assignments, debugging, and technical problem-solving, providing individualized feedback and support to improve understanding and performance.
  • Assisted with classroom instruction, tutoring, assignment review, and evaluation while communicating technical concepts clearly to students with varying levels of programming experience.

Associate Software Developer

Cognizant Technology Solutions
11.2013 - 07.2017
  • Led a four-member development team supporting merchant onboarding and payment-processing solutions for a major credit card processing organization, using DB2, COBOL, JCL, SAS, and Java.
  • Designed and developed merchant boarding solutions for large commercial clients, supporting payment-network integrations and entitlement requirements involving Visa, Mastercard, American Express, Discover, Clover, and other payment platforms.
  • Developed and enhanced mainframe applications by implementing business and regulatory change requests using COBOL, DB2, JCL, and SAS.
  • Extracted, transformed, and analyzed large financial and transaction datasets using complex SQL queries to identify trends, support operational decisions, and validate system changes.
  • Developed front-end interfaces and supporting application components to improve end-user access to backend processing functions.
  • Translated business requirements into technical design specifications, system workflows, and implementation documentation for development and testing teams.
  • Collaborated directly with clients and cross-functional teams to investigate production issues, clarify requirements, resolve technical problems, and deliver system enhancements.

Education

Master of Business Administration -

SUNY College At Oswego
Oswego, NY
05.2001 -

Master of Science - Computer Science

University At Albany,SUNY
Albany
08.2017 - 12.2018

Bachelor of Technology - Computer Science And Engineering

West Bengal University of Technology
Inida
08.2009 - 07.2013

Software

Python, Java, R, COBOL, JCL, JavaScript, HTML, CSS, SAS

Machine Learning, Regression, Classification, Clustering, Predictive Modeling

Deep Learning, Natural Language Processing (NLP), Sentiment Analysis, Time-Series Forecasting

Explainable AI (SHAP), Feature Engineering, Model Evaluation, Cross-Validation

Scikit-learn, XGBoost, LightGBM, BERT, VADER, TextBlob, pandas, NumPy

Oracle 19c, PostgreSQL, MySQL, MongoDB, IBM Db2, Microsoft Access, SQL, Relational Databases

Data Integration, ETL, Data Cleaning, Data Validation

Tableau, Power BI, SPSS, SAS, Microsoft Excel

Statistical Analysis, Data Visualization, Dashboard Development

AWS (EC2, RDS, S3, VPC, EBS, EFS, Glacier, Lightsail)

Microsoft Azure (Azure SQL Database, Data Lake)

Django, HTML, CSS, JavaScript, Mainframe Systems

Healthcare Data Analytics, Electronic Health Records, Clinical Data

Longitudinal Data Analysis, Clinical Terminologies, Healthcare Data Governance, Data Privacy

GitHub, GitLab, JIRA, Confluence, WordPress

Excel, Word, PowerPoint

Accomplishments

  • Awarded with the Kudos Award for my hard work and team collaboration
  • Awarded with Star Award for handling critical projects and guiding junior team members.

Timeline

Lecturer

State University of New York, Buffalo State University
08.2019 - Current

Associate Data Analyst

State University of New York, Buffalo State University
05.2019 - Current

Research Assistant

University At Albany, SUNY
08.2018 - 05.2019

Teaching Assistant

University At Albany, SUNY
08.2018 - 12.2018

Master of Science - Computer Science

University At Albany,SUNY
08.2017 - 12.2018

Associate Software Developer

Cognizant Technology Solutions
11.2013 - 07.2017

Bachelor of Technology - Computer Science And Engineering

West Bengal University of Technology
08.2009 - 07.2013

Master of Business Administration -

SUNY College At Oswego
05.2001 -
Sumanlata GhoshAssociate Data Analyst | Lecturer