Vinothkumar Kolluru

About Vinothkumar Kolluru

I am a Senior Data Scientist with extensive experience in turning complex datasets into actionable insights that drive strategic decision-making and operational efficiency. Passionate about leveraging statistical methods and machine learning to solve real-world problems and deliver measurable business value. Dedicated professional with 9+ years of experience in data science, business analytics, and consulting Skilled in data modeling, querying, visualization, and advanced predictive analysis Experience in audience segmentation, market forecasting, and anomaly detection Proficient in building scalable data pipelines and deploying machine learning models Problem solver, constantly developing innovative solutions to enhance processes Collaborative team player, adept at managing multiple projects simultaneously Determined self-learner studying different skill-based online courses Tools and Technologies:Python • Pyspark • R • SQL • SAS • Tableau • Power BI • Apache Spark • Hadoop • TensorFlow • PyTorch • AWS • Azure • Databricks • NumPy • pandas • scikit-learn • MatplotlibSkills:Predictive Modeling • LLM • GEN AI• Time Series Analysis • Feature Engineering • Machine Learning • Deep Learning • Statistical Analysis • NLP • Data Visualization • ETL Pipeline DevelopmentI am up for challenging opportunities in the domain of analytics. Feel free to reach out: v•••••••@stevens.com

Experience

1. Senior Data Scientist

   Fractal

   Jul 2021 — Present · New York, NY, US

   Apple - ClientMarketing Communications (MARCOM): Advanced customer segmentation initiatives, categorizing Apple’s audience into tailored groups. These insights empowered marketing teams to launch personalized campaigns Built XGBoost and logistic regression models using clickstream data to predict user flow, forecast page visits, and detect anomalies with FB Prophet. Conducted analyses to identify impactful website improvements, reducing friction and enhancing user experience. Collaborated with web teams to implement data-driven enhancements, optimizing navigation and boosting conversion rates.Healthcare and Life Sciences(ECOM Solution - Enterprise Clinical Operating Model) Developed predictive models, including MPM, IPPM, and HCPM, to forecast high-cost, high-utilization health insurance customers, enabling efficient care delivery and reducing healthcare costs by 30%. Applied advanced clustering techniques to identify patterns and group high-risk customers, driving targeted interventions. Conducted impactful analyses and delivered data-driven insights through effective storytelling to support strategic decision-making. Transitioned existing SQL pipelines to Spark-based Databricks platforms, reducing downtimes to near zero and improving scalability. Centralized and standardized data sources into a unified data store, streamlining data access and usage across the organization. Utilized cloud-based parallel computing platforms to enhance data processing efficiency and operational performance.

Education

• Anna University Chennai

  Bachelor's degree

• Stevens Institute of Technology

  Master of Science - MS, Data Science