FEROZ MOHAMMAD

Data Scientist

Tata Consultancy Services•  January 2021 - Present

Led data collection and cleaning efforts, ensuring data quality and consistency from various sources. Conducted extensive data exploration and visualization to identify patterns, trends, and anomalies. Applied statistical methods such as hypothesis testing, regression analysis, and clustering to extract meaningful insights from data. Developed and implemented machine learning models for predictive and prescriptive analytics, including feature engineering, model selection, and evaluation. Utilized data mining techniques like association rule mining and anomaly detection to discover hidden patterns and knowledge within data. Created clear and informative data visualizations to communicate findings effectively to non-technical stakeholders. Deployed machine learning models into production environments and monitored their performance. Designed and analyzed A/B tests to evaluate the impact of changes or interventions. Collaborated with cross-functional teams, including engineers, business analysts, and domain experts, to solve complex healthcare-related problems and drive data-driven decision-making.

Data Engineer

Tata Consultancy Services•  January 2020 - January 2021

Designed, implemented, and maintained scalable and efficient data pipelines for collecting, processing, and storing large volumes of data from diverse sources, utilizing Apache Spark. Spearheaded the implementation and administration of Splunk as the central SIEM solution for a prominent financial institution, enabling comprehensive monitoring and analysis of critical transactions and data flows. Collaborated closely with data scientists, software engineers, and data analysts to understand data requirements and deliver robust solutions that met the needs of various data consumers. Developed and fine-tuned complex Splunk queries and search strings to identify anomalies, patterns, and potential security threats within financial data streams, significantly enhancing detection accuracy. Developed ETL (Extract, Transform, Load) processes to clean, transform, and enrich raw data, ensuring data quality and consistency for downstream analytics and reporting.