Contributed to an impactful internship project focused on News Articles Sorting, leveraging advanced Deep Learning (NLP) technology in the media domain. Overcame intermediate-level challenges by implementing clustering and rule-based algorithms, employing SVM, Neural Networks, and Random Forest for text classification. Successfully developed a solution that effectively recognizes and categorizes news articles into various topics like Finance and Sports.

As a Machine Learning Intern, I applied supervised and unsupervised learning techniques. Collaborated on data preprocessing, feature engineering, and model evaluation, enhancing my skills in Python, scikit-learn, and TensorFlow. Leveraged machine learning algorithms to extract valuable insights and patterns from diverse datasets, contributing to the development of innovative solutions.

- Executed NLP methodologies, achieving an 80% accuracy in sentiment analysis for over 6000 customer, doctor, and medical reviews. (Analyzed sentiments weekly, measuring how frequently the model accurately classified perceptions)- Successfully deployed a dynamic chatbot, resulting in a 30% increase in customer engagement, with an average interaction duration of 4 minutes.- Led the integration of ML, contributing to a 25% improvement in sales forecast accuracy, with models predicting trends and customer behavior.(Assessed model accuracy monthly, measuring alignment with actual sales trends)- Conducted statistical analyses, implementing A/B testing methodologies, resulting in a over 8% optimization of sales strategies.- Automated data tasks, reducing manual processing time by 40% and improving overall reporting efficiency.- Collaborating on the development of data-driven dashboards and reports using Python-based visualization tools.

- Enhanced decision-making by transforming raw data into actionable insights, resulting in a 15% (metrics calculated bi-weekly) increase in NPS and call monitoring effectiveness.- Led the creation of high-quality Tableau dashboards, automating operational processes, saving 10 hours weekly, and modernizing business operations.- Developed and presented data-driven strategies, delivering statistically robust analyses to business stakeholders. Monitored and evaluated analytics packaged models from pilot phase to post-launch, ensuring optimal performance.- Led data integration using Alteryx workflows, advanced SQL skills, and expertise in Python, database modelling, statistics, ETL, and data warehousing. Developed and maintained efficient data pipelines, ensuring data governance, and implementing quality checks.- Implemented Google Maps API for Android, enabling dynamic display of maps for real-time tracking of daily sales calls, improving Doctor and Distributer visit by Medical Representatives by 18%.

- Utilized tools like Excel to analyze production issues, implement corrective action plans, and drive operational efficiency.- Orchestrated and managed all production processes with a data-driven approach, ensuring timely delivery of products.- Employed data analytics for coordinating preventive maintenance on existing and new production equipment, including routine calibration.

- Coordinated equipment procurement for multiple projects, managing the entire process from receiving procurement sheets to liaising with vendors based on factors like delivery time, quality, and warranty.- Employed extensive use of Excel and Microsoft tools to streamline and optimize the procurement workflow.