Oct 2023 – Sep 2025 · 1 yr 11 mos · Noida, Uttar Pradesh, India · Remote

• Amar Ujala: Premier Hindi daily covering national and international news, politics, entertainment, and sports with accuracy and timeliness.
• Project -1)
• Using Kafka to import data from Redis, a streamlined data pipeline based on HDFS and Spark was constructed. used Spark for computation, HDFS for storage across multiple servers, and Kafka for effective data transport. Yarn enabled seamless resource management.
• Project -2)
• Using sophisticated analytical methods and historical revenue data, the Winter-Holt algorithm was put into practice to anticipate revenue. With its accurate forecasts, this system facilitates strategic decision-making and maximizes income potential without requiring time series analysis.

Mar 2023 – Oct 2023 · 7 mos · On-site

Sep 2021 – Jun 2023 · 1 yr 9 mos · On-site

• WhizHack builds cost-effective cybersecurity ecosystems by partnering with clients to plan and execute technology deployments, sharing expertise to optimize security implementations.
• Project -1)
• Developed a machine learning model to classify network traffic, significantly reducing false positives by 21%. Using feature engineering and hyperparameter tuning, we were able to achieve high levels of accuracy on large datasets containing labeled events. This model has been successfully integrated into network security systems to improve threat detection and protection.
• Project -2)
• Designed and built a high-performance ETL pipeline in Python to transform an unstructured JSON dataset into a structured format for storage on AWS S3. Optimized pipelines scaled to process millions of records per day for faster processing times, better data access, and faster data-driven decision making.
• Project -3)
• Perform in-depth analysis of device usage patterns on your network using clustering algorithms. We applied statistical techniques and data visualization tools to create segmented profiles of connected devices and identify patterns to gain valuable insights. This analysis enabled data-driven decision-making and provided a better understanding of the network.

Sep 2019 – Apr 2021 · 1 yr 7 mos · Gurgaon, India · On-site

• Dew Solutions has a proven track record as a top-rated mobile app developer and provides strategic IT services for businesses of all sizes. They are dedicated to providing outstanding customer service, flexibility, and customer success, and their experience includes technology provisioning, enterprise software, network solutions, web development, and project management.
• Project -1)
• As part of my role , I organized data according to company processes and ensured efficient data management. In addition, we respond to product and technical support requests from our business customers, helping them troubleshoot problems and maintain effective use of our products. We also conducted a readiness assessment and selected a high-risk process for our Data Protection Impact Assessment (DPIA). As part of my work, I operationalized client data assets and mapped data flows to comply with GDPR, LGPD, CCPA, and other relevant privacy and security regulations.
• Project -2)
• Perform EDA on Cilory.com's product sales data for one year using Pandas and NumPy for data cleansing and analysis. By identifying sales patterns and trends, we identified peak months and the best locations for buyers, providing actionable insights and recommendations to help you make strategic business decisions.

Feb 2019 – Aug 2019 · 6 mos · Mohali, Punjab, India · On-site

• Softobiz Technologies helps businesses make strategic decisions. They are a reputable supplier of cutting-edge technology solutions for customers worldwide, specialising in product engineering, cloud services, and digital transformation. They are known for their knowledge and dedication to innovation.
• Build two end-to-end used car data collection applications, one for Malaysia and one for an Australian car company, to enable an efficient and streamlined data collection process. Additionally, we maintain data pipelines, data warehousing, and data preprocessing ETL processes to ensure data quality and consistency. In addition, we designed and implemented a machine learning model for predicting used car prices and used it to create predictive dashboards and data analysis reports.