Sridharan M Email & Phone Number

Atlanta Metropolitan Area

Boston, Massachusetts, United States

• Researched and developed an XGBoost model to detect B2B customers based on website engagement.• Improved PR-AUC scores by 20% and therefore identifying and enrolling 2000 businesses every month.• Unified diverse models for efficient real-time scoring on every 3rd-page view and order placement.• Elevated revenue by $1.5MM/month by accurately targeting relevant ads to the predicted customers.• Utilized GCP and in-house A/B tests to validate performance and communicated results to 50 stakeholders.

Tempe, Arizona, United States

Boston, Massachusetts, United States

• Integrated Embedding Subspace: Pioneered the development of an inventive embedding subspace, strategically condensing Wayfair's extensive B2B customer landscape representation. This transformative initiative resulted in enriched data insights, providing a nuanced understanding of customer behavior and preferences.• Proof of Concept (PoC) Engineering: Orchestrated and executed a PoC that not only achieved a remarkable reduction in memory footprint to an impressive 0.5% but also accelerated processing speeds by an extraordinary factor of 10,000. This technological leap not only showcased innovation but also laid the foundation for enhanced operational efficiency.• Efficiency and Performance Optimization: Demonstrated a steadfast commitment to efficiency and performance optimization throughout the project, consistently delivering equally accurate results while significantly enhancing operational speed. This holistic approach not only improved overall workflow but also underscored a proactive stance in navigating the dynamic landscape of data analytics and processing.

Chennai, Tamil Nadu, India

• Website Classification: Spearheaded a groundbreaking project to model a website classifier, utilizing Deep Learning techniques to analyze and categorize an extensive dataset of 1,000,000 websites. Achieved remarkable precision with an 88% accuracy rate, providing valuable insights into online content categorization.• Malware Analysis: Led in-depth Malware Analysis efforts, employing predictive modeling on OS operations to evaluate the potential malicious intent of programs. Delivered a robust accuracy rate of 72%, enhancing cybersecurity protocols and contributing to a more resilient defense against evolving threats.• Anomaly Detection: Applied sophisticated Statistical Modeling techniques to implement Anomaly Detection in time-series data, showcasing a keen ability to identify irregular patterns and deviations. Achieved an accuracy of 84%, underlining proficiency in anomaly identification for enhanced system security.• Performance Visualization Tool: Innovatively developed and implemented an automated Performance Visualization Tool, revolutionizing data analysis processes for existing products. This groundbreaking tool not only boosted efficiency by 40% for malware researchers but also significantly improved the overall understanding of product performance metrics.• Data Science Impact: Consistently demonstrated a profound impact in the realm of Data Science, leveraging expertise in Python, R, and statistical modeling to extract actionable insights. Collaborated across diverse domains, showcasing a versatile skill set and a commitment to driving informed decision-making.

Chennai, Tamil Nadu, India

• Retail Chatbot - Built an intelligent chatbot used to locate products, find best deals, and check availability in stores like Walmart/Target. Used an artificial neural network to build it Skills: Natural Language Processing, building neural networks from scratch, Data Engineering

Cochin Area, India

• Resume Parser - Developed a resume parser to classify the incoming resumes into different job vacancies and predicting the best candidate depending on the requirement • Score Normalizer - Using mathematical modelling and different statistical concepts such as ANOVA to normalize the marks awarding system for the students during their central board examination for MHRD Skills: Statistical Analysis, Mathematical Modeling, Natural Language Processing

Bengaluru Area, India

• Project NIRMALA - a cloud-based health care application using which citizens can book appointments and keep a track of their medical records. Developed the frontend interface of the application using Bootstrap, JavaScript and HTML 5Skills: HTML5, Bootstrap, Product Design

Master Of Science - Ms, Mechatronics, Robotics, And Automation Engineering

Bachelor’S Degree, Electrical, Electronics And Communications Engineering