Santhosh Mani Email & Phone Number

Atlanta, GA, US

Chicago, Illinois, United States

• Spearheaded the development of a real-time price guidance system, employing advanced Machine Learning modeling and statistical hypothesis techniques. Pulled data from Azure Data Lake Storage and utilized PySpark in.
• Implemented robust data warehousing with Azure SQL for efficient storage of transactional data. Engineered features including price sensitivity, company size, and geographical location. Leveraged Azure SQL's querying.
• Crafted a user-friendly dashboard using PowerBI and Streamlit, significantly enhancing decision-making processes at Labelmaster.

India

• Leveraged Amazon SageMaker for real-time data processing, achieving 90% accuracy in predicting audience migration patterns. Created Tableau dashboards integrating Redshift data for comprehensive audience behaviour.
• Assessed traffic data for 50+ campaigns, ensuring accurate insights for campaign planning. Generated weekly & monthly post-campaign reports for 30+ campaigns, optimizing future campaigns.
• Explored data trends using Redshift's advanced analytics features. Using its SQL querying capabilities for performing complex tasks like cohort analysis and trend forecasting to aid predictive model development.
• Created and deployed advanced data models for audience segmentation and targeting, resulting to a 20% increase in campaign precision and engagement.

• Led a team of 5, achieving a 14% boost in campaign success by analyzing raw data with feature engineering and applying statistical modeling and clustering techniques, yielding a 16% cost reduction.
• Investigated 10 Facebook ad campaigns using diverse metrics and methods like gradient boosting, achieving a 6% cost reduction, and providing actionable marketing insights.
• Developed an advanced social media dashboard, to track performance metrics, refining content and advertising strategies for increased engagement and efficiency.

Chennai, Tamil Nadu, India

• Leveraged market data (age, interests) and machine learning algorithms to identify high-potential backers for crowdfunding campaigns on the company's Web3 platform.
• Developed recommendation systems to personalize campaign exposure, leading to a 45% increase in average contribution amount and a 10% boost in overall funding success rate.
• Designed and implemented data pipelines using NodeJS and MongoDB to automate data collection and processing for real-time campaign performance analysis.
• Analyzed user behaviour data from the OnCloudERP system to identify user needs and pain points and translated data insights into actionable recommendations for product development, leading to the creation of features.

Chennai, Tamil Nadu, India

Developed and designed Line Follower, Obstacle Avoider, PC Controlled, and Pulse Width Modulated Robot and Handwriting Robot using Embedded C

Master'S Degree, Mathematics And Computer Science

Bachelor Of Engineering - Be, Electrical, Electronic And Communications Engineering Technology/Technician

Higher Secondary, Mathematics And Computer Science

Igcse O Level