• Exploratory Data Analysis (EDA) of time series data, financial data, and visualization in an informative way using libraries, including Pandas, Polar, NumPy, Scikit-learn, Statsmodels, Gensim, TensorFlow, PyTorch Matplotlib, Bokeh, Seaborn, Plotly and BI Tools.• Implemented a comprehensive feature selection & engineering strategy that reduced model training time by 30% while boosting performance metrics; established a systematic approach to assess and prioritize data relevance for optimal… Show more • Exploratory Data Analysis (EDA) of time series data, financial data, and visualization in an informative way using libraries, including Pandas, Polar, NumPy, Scikit-learn, Statsmodels, Gensim, TensorFlow, PyTorch Matplotlib, Bokeh, Seaborn, Plotly and BI Tools.• Implemented a comprehensive feature selection & engineering strategy that reduced model training time by 30% while boosting performance metrics; established a systematic approach to assess and prioritize data relevance for optimal results.• Developed and deployed machine learning models for anomaly detection in historical and real-time sensor data using Isolation Forest, Autoencoder, & LSTM, resulting in an 80% improvement in anomaly detection accuracy significantly reducing machine downtime and enhancing operational efficiency.• Developed and optimized forecasting model using techniques like Facebook Prophet, ARIMA, SARIMA, and Holt-Winters for accurate predictions.• Developed predictive models for various customer business scenarios, such as machine parts maintenance, using LSTM, Decision Trees, XGBoost & Deep Learning models. These models proactively reduce scheduled maintenance of expensive machine parts by providing timely notifications, leading to optimized maintenance schedules and cost savings.• Developed SQL queries to efficiently retrieve data from PostgreSQL databases, integrating internal and external data sources for comprehensive analysis.• Designed and maintained scalable data pipelines for extracting, transforming, loading, and integrating structured and unstructured data from different sources, ensuring efficient data flow and seamless integration across systems.• Collaborated with a team of designers and engineers to develop a prototype using generative AI for dynamic content creation, resulting in a 20% increase in engagement for a pilot project. Show less

• Leveraged Data Science, Data Analytics, and Cloud technologies to drive Digital Transformation at PRODASO.• Developed predictive models for machine setup phases using Tableau, Power BI, and R to generate actionable insights.• Ensured data security throughout the process to enhance operational agility and promote growth.

• Conducted research on machine learning algorithms, for predictive analysis at Wortmann Schuh-Holding KG.• Collaborated with the data science team to develop models for product prediction and optimization.• Utilized Python programming skills to analyze and interpret data for actionable insights.

• Managed day-to-day business activities for Individual Loan Processing System at HDFC LTD.• Developed new forms and reports based on business requirements using Oracle Forms Developer 11GR2.• Created database stored procedures, triggers, and packages to meet business needs.• Generated MIS reports on Oracle BI Publisher for efficient reporting.

• Gathered requirements from users for new developments in the Retail domain.• Created new forms and reports based on business requirements using Oracle Forms Developer.• Developed dashboards, documents, and webservices in PL/SQL for client processes.• Analyzed and debugged daily issues by writing complex SQL queries in Oracle Database.