Data Analyst & Data Engineering Professional

MOHIT RAJ HANS

Jersey City, NJ Mobile: 551-***-**** Email: ***********@*****.***

SUMMARY

● 3+ years of experience as a Data Professional, adept at Data Analytics / Analytics of large datasets to extract valuable insights and support data-driven decision making.

● Developed and maintained customer centric data structures to store patient data into snowflake database.

● Proficient in diverse packages including NumPy, Pandas, Matplotlib, TensorFlow, and Scikit-learn, enhancing precision in Quantitative & Qualitative Analysis.

● Proficient in data visualization using tools like Tableau, Qlik, and Matplotlib to create visually appealing and interactive dashboards, using complex transformation and Aggregation logic to bring the data from sources.

● Performed high-volume inpatient coding and outpatient coding analysis to identify the contrasts between Financial Reimbursements for both categories

● Demonstrated expertise in building and designing scalable, high-performance data models.

● Eager to leverage gained experience to drive innovation at the nexus of data and technology, shaping the trajectory of data-driven solutions and contributing to transformative initiatives.

● Strong analytical and problem-solving skills, with a keen eye for detail and the ability to identify data anomalies, outliers, and data quality issues.

● Excellent Data Storytelling skills, demonstrated through effective data storytelling and the ability to convey complex technical concepts to both technical and non-technical stakeholders.

● Executed end to end project for tumor gene expression profiling using Omics data. SKILLS

Methodologies: SDLC, Agile, Waterfall

Programming Language: Python or R, SQL, Spark, NoSQL, Pyspark Packages: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, TensorFlow, Seaborn, GGplot, Keras, Pytorch

Visualization Tools: Tableau, Power BI, Advanced Excel (Pivot Tables, VLOOKUP), Crystal Reports IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Database: SQL Server, MongoDB, relational Databases Cloud Technologies: Google Cloud Platform (GCP), Snowflake, Azure Data Factory Tracking Tools: Jira, Azure Dev Ops

Other Technical Skills: ETL Tools, Azure Data Factory, Statistics, Financial Analysis, CI/CD, BI Dashboarding, Data Management, NLP, Data Mining, Data Modeling, Healthcare Data Analytics, statistical inferences, Association rules, Experimental Design, workflow orchestration, Critical Thinking, LLM Prompt Engineering, Communication Skills, Statistical Modeling, Problem-Solving, Informatica, visual Basic, Excel macros, Microsoft Excel Version Control Tools: Git, GitHub, Bitbucket

Operating Systems:

EDUCATION

Windows, Linux

Masters of Science in Data Science - New Jersey Institute of Technology, Newark, New Jersey Bachelors of Science and Master of Science in Physics – Indian Institute of Science Education and Research, India EXPERIENCE

Data Engineer NYC Health + Hospitals, NYC Jan 2024-Present

● Led data analysis project at HHC, optimizing patient care with insights from Epic EHR, claims data, and demographics data.

● Monitored and improved data quality, integrity and consistency across the organization by streamlining workflows.

● Automated reporting of severe sepsis Data to New York state by creating a complex SQL query with multiple SQL joins and optimized it to reduce the execution time.

● Implemented and maintained ETL data pipelines to ensure smooth ingestion and transformation of largescale datasets.

● Implemented machine learning algorithms, including Tree Ensembles and boosting, achieving an impressive 85% accuracy in predicting high-risk patients using ICD10 coding analysis.

● Designed interactive Tableau that offered healthcare providers real-time insights into patient safety and revenue cycle analytics.

● Initiated partnerships with many operational stakeholders, to effectively track and optimize key performance Indicators (KPIs).

● Built and optimized views and data transformations to create a chatbot on top of snowflake database using LLMs.

● Mined and analyzed electronic health records, claims, and demographic data to uncover nuanced trends, contributing to a notable 15% reduction in unwarranted medical procedures.

● Successfully elevated preventive interventions by 20%, thereby positively impacting patient care outcomes and long-term wellness.

● Demonstrated adeptness in data manipulation, statistical techniques, and machine learning algorithms, showcasing a comprehensive skill set.

● Skillfully translated intricate technical findings into efficient, scalable data solutions for non-technical stakeholders, fostering clear communication channels. Data Scientist Intern Kenworth, Ohio Jun 2022- Jun 2023

● Utilized Python's data manipulation capabilities to perform comprehensive exploration of intricate manufacturing datasets, uncovering key variables influencing delays in production line.

● Applied advanced statistical methods to optimize paint time, achieving a significant 12% improvement through meticulous analysis.

● Developed sophisticated predictive models using Python, including Gradient Boosting and Regression, which demonstrated remarkable precision with a narrow 5% margin of error in paint defects predictions.

● Crafted interactive and insightful Power BI dashboards that provided real-time visualization of evolving painting defects to make informed decisions.

● Employed dynamic data visualization strategies that led to an impressive 15% increase in user engagement, underscoring the tangible impact of compelling visuals.

● Collaborated seamlessly within a diverse team to redefine and optimize paint processes, combining technical expertise with domain knowledge.

● Resolved data discrepancies and performance issues which lead to a 20% reduction in execution times.

● Translated intricate data insights into actionable pricing strategies and investment decisions, empowering stakeholders with data-driven guidance.

● Illustrated the transformative potential of data analytics in modernizing traditional manufacturing practices, showcasing the power of data-driven decision-making.

● Eager to channel gained experience into driving innovation at the intersection of data and technology, shaping the future of data-driven manufacturing solutions.

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