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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE Wixom, MI LINKEDIN LINK AVAILABLE 6+ years of experience in the IT industry/healthcare. Highly motivated AI/ML engineer and visual storyteller skilled at building and deploying impactful solutions across various industries and creating insightful data visualizations to solicit feedback from stakeholders and enhance the efficacy of processes. Proficient in SQL, Python, AI/ML frameworks, technologies and tools, Tableau, Power BI for data wrangling, analysis, and visualization. Proven ability to present complex data findings to stakeholders in clear and actionable formats. Experience working effectively with engineers and product managers to translate data insights into actionable solutions. Deep learning algorithms such as object detection, image classification, image segmentation, and video analysis, NLP, LLM, GPT, BERT Passionate and eager to contribute expertise to a fast-paced, innovative team and continue learning in the dynamic field of AI/ML Generating, testing, and interpreting product experiments, formulating hypotheses: Developing clear, testable statements about the relationship between changes in a product and their impact on specific metrics. Built a recommend engine using ML techniques as collaborative filtering, matrix factorization, content-based filtering on X scale of data. Evaluation metrics for recommendation systems (precision, recall, NDCG). TECHNICAL SKILLSProgramming Languages: Python, SQL, VB.NET, ASP.NET, C, C#, HTML, Visual Basic 6.0, C#, .Net, Excel Visualization and tools: Tableau, Power BI, DAX Query, Seaborn, Plotly, Bokeh, Tableau Public. Machine Learning Frameworks/Algorithms: Scikit-learn, TensorFlow, PyTorch, Keras, Image Processing, Deep Learning, ANN, NLP, Generative AI, Transfer Learning, RNN, BERT,Autoencoder,OpenAI,Generative AI. Deep Learning Libraries: NumPy, Pandas, Matplotlib. Databases and tools: RDBMS, MS SQL Server, MS Access, PostgreSQL, Oracle, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Snowflake.Additional Tools and Technologies: Jupyter Notebook, GitHub, JIRA, Trello, Crystal Reports, Seagate Crystal Report. Training and Certifications:University of Michigan Nexus AI & Machine Learning National Institute of Information Technology (Dot Net) SQL Server Integration Services and SQL Server Reporting Services TECHNICAL PROJECTSRetail company/sales February 2024 Retail Co. is looking to build a classification model, recommendation system to predict their customers sales. Developed and implemented a recommendation engine to personalize product suggestions for customers, enhancing user experience and driving sales. income group based on their demographic data. This model will empower Retail Co. to make informed decisions and develop targeted marketing campaigns that maximize reach and impact. Database was extracted from the 1994 Census bureau database which contains various factors that decide the income of a person. Worked on Feature Engineering, Exploratory Data Analysis (EDA): Visualize the distribution of income levels and relationship between features and income, Fix the imbalanced dataset by oversampling method. Model Evaluation: Evaluate model accuracy and F1-score and recall and precision matrix. Developed classification algorithms using Python including K-Nearest Neighbors (KNN), Naive Bayes, Random Forest, Logistic Regression Classifier, SVM, and Decision Tree Classifier, proved recommendation accuracy by X% through feature engineering and model optimization. With Hyperparameter Tuning to Optimize model hyperparameters for improved performance. Compared algorithm performance and provided insights communicate findings effectively the strengths and weaknesses of each algorithm. Generating visualizations and a comprehensive report for Retail Co. Developed and implemented a recommendation engine using collaborative filtering techniques to suggest personalized product recommendations on the company's e-commerce platform. Analyzed customer purchase history, browsing behavior, and product attributes to identify patterns and relationships. The recommendation engine led to a 15% increase in average order value. PARTICIPATION AND PUBLICATIONSHackathon / Datathon / SQL and Python Bootcamp / Blog Writing Blogs: https://www.numpyninja.com/post/how-to-connect-python-to-sql-server-using-pyodbc https://public.tableau.com/app/profile/archana5506/viz/Sepsis_FinalPresentation/LiverAnlysis-2 https://public.tableau.com/app/profile/archana5506/vizzes EXPERIENCEData Analyst/Scientist Medical /Health Care Numpy Ninja Remote November 2022 - present Using Python Contributed with clinical dataset for designing a KPI dashboard (Length of stay, throughput etc.) for ICU Sepsis patients using Tableau calculated field, Level of Detail (include, exclude, fixed), filters, parameters, sets which improved ICU operational efficiency by 30%. Identified the dominant biomarkers of Sepsis by using concepts of advanced Tableau visualization techniques like Dual axis, Blended axes, control charts, spark line charts, funnel charts, pareto charts, correlation charts. Created basic charts like Bar plots, Box plots, scatter plots, heat map to enable regular monitoring by the clinicians and created dashboards for SIRS (Systemic Inflammatory Response Syndrome) patients to help stakeholders to monitor patients at risk for further stages of Sepsis. Worked on a project analyzing an effect of Diabetes on Cerebrovascular disease in elderly patients. Conducted descriptive and statistical analysis, resulting in key findings including a 38% increase in the likelihood of developing Dementia for individuals with diabetes. Analyzed patient data and determined that 96% of patients with a history of Diabetes for more than 15 years, develop Hypertension. Conducted correlation analysis and identified a strong positive correlation between blood pressure and poor diabetes management. Leveraged data analysis skills for visually appealing data visualization in Power BI using Dax functions effectively communicate findings based on demographics and health information to the stakeholders. Designed and implemented Dashboard, Power BI Project/visualization report for Gestational Diabetes Mellitus (GDM), Getting the Knowledge of good medical biomarkers and good document of Data Definition with all Biomarkers cut off Values. Articulated and communicated data cleansing and pre-processing using Python libraries such as NumPy and Pandas. Data preparation from relational database using PostgreSQL by using SQL queries. Utilize Agile tools like Jira and Trello to effectively track progress, manage backlog, and facilitate communication. Contribute to and review code collaboratively through pull requests and issue tracking. Leverage GitHub features like branches, forks, and merges to maintain code quality and efficiency. Utilize GitHub for code version control, collaboration, and project management, hosting service and web interface for the Git code repository. Performed manual data cleansing to summarize, filter, impute and consolidate data for various groups of clinical testing results like MRI markers, lab tests and cognitive tests. Spearheaded and presented visually appealing data visualizations in Tableau to effectively communicate findings based on demographic and health information, to the stakeholders. Reverse Dipping Blood Pressure and poor diabetes management, thus increasing the incidence of cardiovascular disease and an elevated 75% risk for cognitive impairment. Analyst Programmer TriZetto / Humana Health care system Syntel Ltd. Pune, India September 2010 - March 2011 Analyze the requirements to create System Design Document (SDD) for assigned service / operation. Created semantic data model(SDM) and developed ERD Diagram and data flow diagram. Design the use case diagrams, class diagrams and sequence diagrams. Developed the project using C#, ASP.NET and used manual testing tool to test the code. Implemented Used the MVC architecture model and used appropriate object-oriented programming concepts. Worked on SQL Server Integration Services for database integration and migration. Build the SQL queries and created stored procedures, triggers, cursors.Transaction Processing Officer Project Sphere-Releases Mphasis/HP Company Pune, India February 2010 - August 2010 This System is designed to automate the process of releasing the land property by checking the loans and the mortgages that have taken on that land, if it is clear to pay all pay out figure then customer is ready to take his property again on his own name by releasing the mortgages amount. Designed and implemented the Semantic Data Model (SDM). Verified the different document like CT, property, mortgage document for amount, loan number, surplus amount etc. Sr. Software Engineer Land Acquisition & Biometric Attendance System SSTS Pvt. Ltd. Pune, India January 2006 January 2009 This System is designed to automate the process of acquiring land for purpose under control of land acquisition department. It provides case wise and stage wise tracking of land acquisition process. It includes district level and commissioner level reports. Developed biometric attendance system for hospital using biometric device to track attendance of patient. Designed and implemented crystal reports, executive dashboard, and other analytic / programming tools. Designed and implemented the database schema using SQL Server, ensuring data integrity and efficient data retrieval. Utilized T-SQL queries to manipulate data and integrate with the .NET application. Visual Basic 6.0. Developed a comprehensive reporting system using SQL Server Reporting Services (SSRS) to deliver insightful data visualizations and facilitate informed decision-making. EDUCATIONUniversity of Michigan Nexus AI/ML Certification Program, USA December 2023 - June 2024 Powered by Fullstack AcademyImmersive AI & Machine Learning program which utilized active learning to gain proficiency in data technologies and tools including Python, Keras, and TensorFlow, NLP, Neural network and understanding of machine learning, recommendation engine, ensemble learning, deep learning, and Applied data science processes.Savitribai Phule Pune University, IndiaMasters in computer science (MSc.) June 2005 - May 2007 Savitribai Phule Pune University, IndiaBachelor in computer science (BCS) June 2001- May 2004 |
