Shrijani C.

As a Data Scientist with a diverse background, I bring a wealth of expertise and experience to the table. My top skills, strengths, and experiences are highlighted by my work at Innomatics Research Labs and Electronics Corporation Limited. Top Skills: Data Analysis and Visualization: Proficient in using tools like Python, R, and SQL to analyze data and create compelling visualizations with libraries such as Matplotlib, Seaborn, and Tableau. Machine Learning: Experienced in building and deploying machine learning models for classification, regression, clustering, and recommendation systems. Familiar with frameworks like Scikit-Learn, TensorFlow, and PyTorch. Statistical Analysis: Strong foundation in statistical methods, hypothesis testing, and predictive modeling to derive meaningful insights and drive data-driven decision-making. Data Cleaning and Preprocessing: Expertise in data wrangling, cleaning, and preprocessing to ensure high-quality data for analysis and modeling. Natural Language Processing (NLP): Proficient in NLP techniques for text analysis, sentiment analysis, and language modeling using libraries like NLTK and SpaCy. Database Management: Experienced in designing and managing databases, writing complex queries, and optimizing database performance. Project Management: Strong project management skills, including planning, execution, and delivery of data science projects within deadlines. Strengths: Analytical Thinking,Attention to Detail,Communication,Adaptability Experiences: Innomatics Research Labs (Intern - Data Scientist): Worked on various data science projects, including predictive modeling, customer segmentation, and recommendation systems. Developed machine learning models to predict customer churn and improve customer retention strategies. Created interactive dashboards and visualizations to present data insights to stakeholders. Electronics Corporation Limited (Technical Officer - Data Analyst): Analyzed large datasets to identify trends and patterns, providing actionable insights for decision-making. Implemented data preprocessing and cleaning techniques to ensure data quality and integrity. Developed and deployed machine learning models to optimize operational efficiency and reduce costs. Projects: Customer Churn Prediction: Developed a machine learning model to predict customer churn, resulting in a 20% improvement in customer retention rates. Sales Forecasting: Built a time series forecasting model to predict sales, enabling better inventory management and demand planning. Sentiment Analysis: Implemented an NLP model to analyze customer reviews and feedback, providing valuable insights for product improvement. Services Offered: Data Analysis and Reporting: Providing detailed analysis and reports to help businesses make informed decisions. Machine Learning Solutions: Developing and deploying machine learning models tailored to specific business needs. Data Visualization: Creating interactive and insightful visualization