Rishika Rachel Manda

About Rishika Rachel Manda

Strategic Data Analyst | Advanced Problem Solver | Business Intelligence EnthusiastWith over four years of experience as a Data Analyst, I specialize in turning complex data into actionable insights that drive business growth. My expertise spans healthcare analytics and financial data optimization, where I apply advanced statistical methods, machine learning, and data visualization to solve critical challenges and enhance operational efficiency. Technical Proficiency:I bring a robust technical skill set in Python, SQL, Tableau, and machine learning frameworks like TensorFlow. I excel in building predictive models, optimizing ETL processes, and visualizing data to support strategic decisions. Work Experience:Data Analyst | Johnson & Johnson, NJ | Emonics LLC (W-2)| Aug 2024 – Present- Led a healthcare data optimization project, achieving a 20% reduction in processing time and a 25% improvement in reporting accuracy- Developed solutions for HIPAA compliance and enhanced data validation protocols within ETL pipelines.Data Analyst | Accenture, India |(Jun 2019 – Aug 2022)- Improved customer experience through data analysis and forecasting, leading to optimized inventory management and better user retention- Enhanced financial forecasting accuracy by 25% with machine learning models and streamlined data cleaning processes. Education- M.S. in Data Science from Pace University, New York, with a 3.8 GPA, covering advanced analytics, machine learning, and NLP- B.Tech. in Computer Science from JNTU Hyderabad, India, with a 3.7 GPA, focused on algorithms, data structures, and statistical modeling. Core Competencies- Data Analysis & Preprocessing: Expertise in cleaning, wrangling, and analyzing healthcare and financial data- Machine Learning & Predictive Modeling: Proficient in developing models that enhance decision-making- Visualization & Data Storytelling: Skilled in creating impactful visualizations using Tableau, Power BI, and Excel. Let’s Connect:I’m always open to exploring new opportunities and discussing innovative data strategies. Reach out at m••••••••@gmail.com, connect with me on LinkedIn, or check out my projects on GitHub: Rachel2302.

Experience

1. Data Analyst

   Johnson & Johnson

   May 2023 — Present · NJ, US

   Spearheaded a data-driven initiative to optimize the distribution of medical supplies across healthcare facilities, ensuring timely access to critical resources and improving overall operational efficiency within the supply chain. Utilized SQL to extract and integrate comprehensive datasets from diverse sources, including inventory management systems and sales records. Analysed over transaction entries to identify key trends and patterns that informed supply chain strategies. Outlined potential risks such as data quality issues, compliance challenges, and resistance to adopting data-driven insights. Made mitigation strategies for each identified risk. Employed Python for advanced data analysis, leveraging the Pandas library to manipulate and preprocess large datasets efficiently and implemented data cleaning techniques to ensure accuracy and reliability in the analysis process. Used AWS Lambda for serverless data processing tasks, automating data cleaning and preprocessing workflows, which resulted in a 30% reduction in processing time and allowed for efficient handling of large volumes of data without managing resources. Conducted sophisticated time-series analysis to forecast future demand for medical supplies, achieving a remarkable 90% accuracy rate which allowed for adjustments in inventory levels, minimizing shortages and overstock situations. Designed and developed interactive dashboards in Tableau, providing stakeholders with real-time access to critical key performance indicators (KPIs), also these dashboards included metrics such as stock levels, delivery times, and supply chain efficiency, enhanced visibility across departments and improved decision-making speed by 25%. Implemented a clear roadmap outlining the steps needed to bridge the identified gaps, including timelines for technology implementation, training, and stakeholder engagement initiatives.

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech

  2018 — 2022

• Pace University - Seidenberg School of Computer Science and Information Systems

  Master's degree

  2022 — 2024

• Narayana Junior College - India

  Secondary Education

  2016 — 2018