Jul 2025 – Oct 2025 · 3 mos · Massachusetts, United States

Aug 2023 – Jul 2025 · 1 yr 11 mos · Massachusetts, United States · Hybrid

• Developed Power BI dashboards for real-time inventory tracking, enhancing visibility for executive decision-making.
• Implemented inventory forecasting models, improving accuracy and minimizing excess and obsolete (E&O) inventory.
• Spearheaded a $30M obsolete inventory reduction project, cutting storage costs by 20% and improving inventory turnover.
• Optimized ERP and inventory management systems, streamlining stock reconciliation and reducing discrepancies.
• Developed an AI-powered chatbot using ChatGPT API to automate and streamline responses to product-related queries, enhancing customer support efficiency.
• Automated inventory tracking and reporting using Python and SQL, reducing processing time by 30%.
• Conducted root cause analysis on inventory discrepancies, implementing corrective actions to improve data integrity
• SQL, Tableau, Power BI, Oracle DB, Python, Demand Planning, Forecasting, Inventory and discontinuance Analysis, Scrap Analysis

May 2022 – May 2023 · 1 yr · Dallas, Texas, United States

• Rice Crop Identification by Remote Sensing:
• Developed neural network predicting rice cultivating areas, addressed $200B loss due to climate change.
• Utilized Sentinel 1 Radar data to accurately analyze RVI & filter non-rice crops with 98% precision.
• Customer Sentiment Analysis:
• Performed cleaning & preprocessing on the client's dataset, did feature engineering to build NLP model.
• Achieved 85% accuracy by accurately classifying customer sentiment for 30K+ customer reviews.
• US Health Care Accessibility:
• Carried out data cleaning, feature engineering, scaling, and EDA on the US Health care data set.
• Gave recommend insurance companies, Government and policy makers to improve accessibility.
• Customer Churn Prediction:
• Analysed customer banking data to predict churn and conducted exploratory data analysis (EDA).
• Implemented ML algorithms to predict customers' churn. Achieved 94% F1-score using Random Forest.
• Multi-Class Image Classification:
• Build convolutional network using CIFAR 10 data set for multiclass prediction using cross entropy loss.
• Used Multi-Layer Perceptron to build neural network and achieved accuracy of 98% on test data set.
• Credit Card Approval Prediction:
• Developed a classification model in python to predict approval of credit card using Kaggle dataset.
• Used nn modules for parameter and hyperparameter tuning in google colab and weight & biases.

Oct 2019 – Sep 2021 · 1 yr 11 mos · Singapore · Remote

• Built Power BI dashboards to analyze supply chain trends, improving inventory visibility and enabling data-driven decision-making.
• Built anomaly detection model for predictive maintenance, lowering 15% breakdowns, reducing downtime by 40K+ hours/year
• Developed regression models to predict best RPM, improving engine performance by 4%, resulting in $3M+ yearly fuel savings
• Optimized $200k digital marketing budget across multiple ad agencies & audiences, resulting 23% increase in click through rate
• Reduced inventory expenses by 20% & saved $750K+ by resolving stock issues using Pareto & just-in-time (JIT) analysis
• Increased $2M revenue by optimizing fleet deployment & boosting 15% cargo capacity using mixed integer programming
• Designed automation system using sensors for detection of anomalies and preventive maintenance to reduce downtime by 20%
• Amplified ship inventory management by 20% with demand forecasting model via time series method, yielding $1.5M annually
• Headed the project of “Integrated Vessel Management System” for the optimisation of Maritime Services using Modelling and Machine Learning Techniques.
• Worked on tools like SQL, Tableau, MS Excel Query and Advance Modeling tools to fetch data from vesselfinder.com & marinetraffic.com to analyze stay time and different operations to minimize Ship stay at port calls.

Oct 2017 – Dec 2021 · 4 yrs 2 mos · Padrauna, Uttar Pradesh, India · Remote

• Received National Award From the Ministry of Information and Broadcasting for the Program conceptualized for empowering rural women.
• Receive best media house award for bringing awareness during covid-19.
• Completed 50 plus episodes of "Mitti Ke Rang" to protect local culture and promoted the interest of regional and community artists.
• Successfully accomplished the broadcast and campaigning of the Program "Hinsa Ko No" with the collaboration of UNICEF and SMART.

Sep 2017 – Oct 2019 · 2 yrs 1 mo · Glifádha, Attiki, Greece

• Reduced equipment downtime by 20% through predictive maintenance planning, resulting in annual savings of over $1.5M across fleet operations.
• Led cross-functional teams of up to 12 members across 5+ countries, ensuring compliance, safety, and quality across 50+ merchant ships.
• Improved vendor delivery reliability by 25% by implementing a performance dashboard and cross-region collaboration metrics.
• Decreased inventory-related operational costs by 20% by identifying inefficiencies in spare parts management using clustering and forecasting models.
• Streamlined reporting and analytics workflows, reducing manual effort by 30% through automation in Power BI and Excel-based tools.
• Shortened vessel turnaround time by 12% by optimizing transportation and logistics routes, contributing to an 8% cost reduction.
• Launched digital logistics platform (marinerscart.com) during the pandemic, improving supply access for seafarers and supporting remote delivery operations.
• Supported $30M+ in asset management by overseeing repairs, consulting, supply chain coordination, and international vendor relations.

Aug 2014 – Sep 2017 · 3 yrs 1 mo · Glifádha, Attiki, Greece

• Applied decision optimization techniques on the data related to the routes followed by the ships to minimize cost and propelling time, thus optimizing route and supply chain network and cost reduction by 8%.
• Applied decision optimization techniques on the data related to the routes followed by the ships to minimize cost and propelling time, thus optimizing route and supply chain network.
• Improved ships' stability plan by analyzing strain–stress analysis using the limit Strain Method (LSM) to enhance ship loading efficiency using advanced statistical methods.
• Worked on reducing the overall cost of a running ship by optimizing its fuel consumption through monitoring the data from weather conditions, ships speed and propeller slip to find the relation with engine performance to save100K USD/Year.
• Applied predictive analytics techniques, utilizing sensor data to identify areas that need maintenance on a priority basis to prevent delays, increase efficiency & reduce downtime.

May 2013 – Aug 2014 · 1 yr 3 mos · Glifádha, Attiki, Greece

• Troubleshoot & maintenance In-Charge of oil purifiers, air compressors, marine incinerators, steam boilers, generators, refrigeration & air-conditioning plants.
• Specialisation in Troubleshooting Hydraulic Power Packs and Electrohydraulic Cranes on heavy lifting cargo carriers.
• Fuel oil estimation and bunkering operations in charge.
• In charge of Engine Room safety and environmental compliances.
• Spare and inventory management in charge.

Sep 2012 – May 2013 · 8 mos · Limassol, Cyprus · On-site

• Received Certificate of Competency by Gov. of India for Engineering Watchkeeping Duties.
• Spare and inventory management in charge.
• Assisted supervisors in bunker planning, calculation and ships stability planning during cargo operations.
• Assisted in Dry Dock preparation of a ship and major overhauls in the port of Dubai, UAE.
• Assisted in Ballasting and Deballasting operation with the full hydraulic actuator control system.