I leverage data insights to optimize fleet management as a Fleet Data Scientist. I transform complex fleet data into actionable strategies using analytics and machine learning, driving informed decisions and operational growth.Responsibilities:* Built predictive models forecasting maintenance needs, reducing reactive repairs by 25%.* Optimized delivery routing via algorithms, improving on-time rate by 20%.* Analyzed driver patterns to improve habits and lower fuel… Show more I leverage data insights to optimize fleet management as a Fleet Data Scientist. I transform complex fleet data into actionable strategies using analytics and machine learning, driving informed decisions and operational growth.Responsibilities:* Built predictive models forecasting maintenance needs, reducing reactive repairs by 25%.* Optimized delivery routing via algorithms, improving on-time rate by 20%.* Analyzed driver patterns to improve habits and lower fuel consumption by 12%.* Created dashboards with key metrics on utilization, mpg, and emissions.* Implemented ML model for dynamic routing, cutting miles driven by 10%.Skills:* Statistical modelling and machine learning with Python (TensorFlow, PyTorch, Scikit-learn)* Data visualization and dashboard creation using Tableau* Predictive modelling, classification, clustering, and regression algorithms* Anomaly detection techniques to identify risks or outliers Show less

At insurtech startup Qumata, I collaborated on a cross-functional team of 8 as a junior data scientist to build pricing, claims, and underwriting models that optimized profitability and loss ratios for insurance partners.Responsibilities:* Partnered with international teams to localize models, reducing deployment time by 20% through streamlining workflows. Ensured localized models precisely reflected country-specific data on demographics, risk levels, and claims profiles, improving… Show more At insurtech startup Qumata, I collaborated on a cross-functional team of 8 as a junior data scientist to build pricing, claims, and underwriting models that optimized profitability and loss ratios for insurance partners.Responsibilities:* Partnered with international teams to localize models, reducing deployment time by 20% through streamlining workflows. Ensured localized models precisely reflected country-specific data on demographics, risk levels, and claims profiles, improving model fit by 10%.* Converted legacy risk models from R to Python, boosting model performance by 5% while enabling easier maintenance.* Built risk-scoring models incorporating enhanced risk factors that increased accuracy by 5% and decreased loss ratios.Skills:* Constructed and deployed machine learning models using Python (XGBoost, sci-kit-learn, TensorFlow)* Developed predictive modelling, including regression, random forests, clustering, and regularization techniques.* End-to-end development of predictive models and benchmarking performance* Communicating analytical insights to both technical and non-technical audiences. Show less

As a business analyst, I utilized data-driven insights to optimize supply chain operations and worked cross-functionally to analyze distribution networks and transportation routing.Responsibilities:* Convened meetings with operations leaders to identify improvement opportunities, reducing downstream fulfilment backlogs by 10%.* Assessed transportation routing models, determining algorithms suboptimal for urban vs. rural deliveries—recommended separate models by… Show more As a business analyst, I utilized data-driven insights to optimize supply chain operations and worked cross-functionally to analyze distribution networks and transportation routing.Responsibilities:* Convened meetings with operations leaders to identify improvement opportunities, reducing downstream fulfilment backlogs by 10%.* Assessed transportation routing models, determining algorithms suboptimal for urban vs. rural deliveries—recommended separate models by geography to improve on-time rate by 8%.* Tracked KPIs like order cycle times and monitored outcomes, driving 20% faster resolution of issues impeding performance.* Researched industry best practices for warehouse utilization, advising operations teams on how to lift utilization rates by 6%.Skills:* Built Tableau dashboards to visualize supply chain analytics and performance gaps.* Generated ad-hoc SQL reports to answer cross-functional data requests swiftly.* Communicated analytical insights and data-driven recommendations to executive stakeholders. Show less

Bright Network runs internship programs to provide work experience opportunities for university students across various fields. As a technology intern, I gained hands-on experience analyzing data, developing solutions, and collaborating with cross-functional teams.Responsibilities:* Supported teams in designing and scoping new technology projects and initiatives, reducing planning timelines by 15%.* Conducted research and analysis on software tools and approaches to… Show more Bright Network runs internship programs to provide work experience opportunities for university students across various fields. As a technology intern, I gained hands-on experience analyzing data, developing solutions, and collaborating with cross-functional teams.Responsibilities:* Supported teams in designing and scoping new technology projects and initiatives, reducing planning timelines by 15%.* Conducted research and analysis on software tools and approaches to identify optimal technical solutions, increasing development efficiency by 20%.* Developed proofs of concept and prototypes to demonstrate proposed solutions, accelerating concept validation by 30%.* Documented technical processes and architectures through diagrams and specifications, improving knowledge sharing and onboarding of new engineers by 25%.* Performed data analysis and visualization using Excel and Tableau to uncover usage insights, identifying opportunities to enhance customer experience.Skills:* Data analysis and visualization using Excel, Tableau, and SQL to surface insights* Building proofs of concept and prototypes on cloud-based architectures* Operating system administration and supporting technology infrastructure* Technical writing and communication collaborating with teams Show less

KPMG leverages data and analytics to solve complex business challenges and unlock client insights. As a data analyst consultant, I worked with cross-functional teams to build machine learning solutions driving growth and operational efficiency.Responsibilities:* Collaborated with software developers to build a customer identification model using random forest algorithms and NLP, increasing projected revenue by 15%.* Created a product recommendation system with… Show more KPMG leverages data and analytics to solve complex business challenges and unlock client insights. As a data analyst consultant, I worked with cross-functional teams to build machine learning solutions driving growth and operational efficiency.Responsibilities:* Collaborated with software developers to build a customer identification model using random forest algorithms and NLP, increasing projected revenue by 15%.* Created a product recommendation system with collaborative filtering algorithms in Python, enhancing customer experience and improving product adoption by 20%.* Established a daily KPI dashboard tracking sales performance, enabling data-driven decisions that lifted conversion rates by 8%.* Communicated analytical insights and recommended data-driven process changes, convincing executives to invest 30% more in AI initiatives.Skills:* Programming languages like Python and R to construct machine learning models* Data visualization and storytelling with tools like Tableau* Statistical modelling skills like regression, clustering, and decision trees* Working collaboratively with cross-functional product and technology teams Show less

Bigdatamatica develops AI solutions for enterprises throughout India. As a data science intern, I worked on end-to-end machine learning projects to extract insights and drive business impact.Responsibilities:* Built a sentiment analysis model analyzing customer feedback, identifying priority pain points and service improvements that boosted NPS scores by 15%.* Developed a product recommendation system with collaborative filtering algorithms, increasing cross-sell revenue by… Show more Bigdatamatica develops AI solutions for enterprises throughout India. As a data science intern, I worked on end-to-end machine learning projects to extract insights and drive business impact.Responsibilities:* Built a sentiment analysis model analyzing customer feedback, identifying priority pain points and service improvements that boosted NPS scores by 15%.* Developed a product recommendation system with collaborative filtering algorithms, increasing cross-sell revenue by 20%.* Implemented bias detection techniques to improve model fairness by 12% for minority groups.* Tracked model performance over time, flagging degraded accuracy and prompting retraining to maintain effectiveness.Skills:* Python machine learning frameworks like TensorFlow and Scikit-Learn* Data mining, modelling, and analysis techniques* Developing and deploying scalable AI solutions* Communicating analytical insights to business stakeholders Show less

Smartbridge provides educational services and training in emerging technologies like machine learning. As an ML intern, I gained hands-on experience building models and deploying practical solutions.Responsibilities:* Developed predictive models for healthcare use cases, enabling data-driven clinical decision support and personalized treatment plans.* Built an end-to-end machine learning web application using Flask and deployed it on IBM cloud infrastructure.* Created… Show more Smartbridge provides educational services and training in emerging technologies like machine learning. As an ML intern, I gained hands-on experience building models and deploying practical solutions.Responsibilities:* Developed predictive models for healthcare use cases, enabling data-driven clinical decision support and personalized treatment plans.* Built an end-to-end machine learning web application using Flask and deployed it on IBM cloud infrastructure.* Created technical educational content explaining machine learning concepts, boosting student satisfaction scores by 25%.* Mentored junior data science students, improving their assessment performance by 15% through focused coaching.Skills:* Python machine learning frameworks like TensorFlow, SciKit-Learn, Keras* Full stack development with Flask web framework and IBM cloud services* Translating complex technical concepts into clear explanations* Coaching and mentoring students in emerging technology disciplines Show less