Ambrish Pathak

M.S. Data Science @ Stevens Institute of Technology

Technical Skills: Python, SQL, AWS, Bash, Tableau, Power BI

Profile

Leveraging 5+ years of experience in IT support, consulting, and administration, I've honed strong analytical, problem-solving, and technical skills. This experience has equipped me to effectively manage complex systems, troubleshoot issues, and communicate technical solutions clearly. I'm passionate about applying these skills to the field of data science.

Education

M.S. Data Science Stevens Institute of Technology (Dec 2025)
B.S. Information Technology University of Mumbai (May 2019)

Work experience

IT Engineer @ INFORM GmbH (April 2023 - August 2024)

Managed 5+ clients as an IT Engineer and Consultant at INFORM GmbH, demonstrating proficiency in troubleshooting issues, application configuration, feature testing, and software delivery.
Resolved 100+ issues monthly via Jira across diverse technologies, including Windows Server, Linux, and AWS cloud environments.
Developed and modified scripts (Perl, SQL, PowerShell) and configured reporting tools (Power BI, BIS), improving reporting efficiency by 25%
Maintained 100+ pods/containers in a cloud environment, optimizing resource utilization and reducing costs by 15%.
Provided 24/7 on-call support, maintaining a 95% customer satisfaction rate through effective communication and problem-solving.
Collaborated with development teams to analyze system KPIs and implement improvements, minimizing downtime by 20%.

Engineer Cloud and Infrastructure Services @ LTIMindtree (December 2019 - March 2023)

Ensured service uptime at Nexi Group by monitoring critical infrastructure (alert consoles & payment consoles), managing incidents with ServiceNow, and providing first-level troubleshooting across diverse technologies.
Proficient in resolving 100+ issues per month across Linux, VMware, Windows Server, Oracle, MS-SQL, MongoDB, Middleware, and Backup systems.
Managed database backup, recovery, and performance monitoring for Oracle, MS-SQL, and MongoDB ensuring 99% uptime.
Conducted service management and maintenance for Middleware and Linux, achieving 95% service availability and reducing system downtime by 15%. Handled server provisioning, resource management, reducing server deployment time by 30%.

Projects

Time Series Forecasting model in Python using the FBProphet module (May 2024) | Colab Link

Developed a predictive model for New York City boroughs' electric consumption using daily data from 2010 to 2023. Aggregated data into monthly and yearly means, trained FBProphet models, and forecasted consumption for future periods. Tuned model parameters for accuracy and evaluated performance using MAE, MAPE, and R² metrics. Visualized results with historical and predicted data graphs.

Stock Foretell using Deep Learning (April 2019)

Developed LSTM-based deep learning model using 20 years of historical data from the National Stock Exchange to forecast Nifty-50 index stock prices, showcasing deep learning's potential in financial forecasting

Achievements and Publications

Led a 15+ member team at LTIMindtree for 2 months, managing shift rosters, implementing improvement plans, conducting training sessions and Successfully obtained long-pending sign-offs from the customer, garnering recognition from management, and receiving the "Pat on the Back" award.
Secured 2nd Rank in the First Year of B.S. Information Technology examination during the academic year 2016-17.
Successfully published and presented and research paper “Evolution of online shopping: E-commerce” in the journal “The Vibrant India”