Sonal Kishore

Data Analyst

Location
United States
Desired Salary
Unspecified
Work preference
Internship
Status
Actively looking
Field / Industry
Data Science & Analytics
Relocation: No
Notice Period: Immediate

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English -

About Me

I am a dedicated Data Analyst with a strong academic background and hands-on experience in data analytics, business intelligence, and healthcare data management. Currently, I am pursuing a Master of Science in Business Analytics at Montclair State University, where I have maintained a perfect GPA of 4.0 and developed expertise in database systems, data visualization, and advanced data mining techniques. My education is complemented by a previous Master of Science in Biotechnology from Rajiv Gandhi Institute of I.T. and Biotechnology, where I graduated with a GPA of 3.9.

Throughout my academic and professional journey, I have honed my skills in programming languages such as Python and R, and I am proficient in tools like Power BI, Tableau, SQL, and advanced Excel. I have applied these skills in real-world scenarios, including automating workflows, developing dashboards, and conducting exploratory data analysis to support clinical and regulatory processes.

In my current role as an MS Analytics Student Tutor & Assistant at Montclair State University, I provide targeted tutoring to students, improving their academic performance and engagement. I have also developed automation scripts that significantly reduce grading time, demonstrating my ability to leverage technology to enhance efficiency.

Previously, as a Healthcare Data Analyst at Reliance Life Sciences, I automated adverse event reporting workflows, engineered SQL pipelines for data normalization, and created Power BI dashboards to monitor clinical KPIs. My work improved data accuracy, accelerated reporting, and supported decision-making processes across multiple therapeutic programs.

I am passionate about integrating multi-source healthcare datasets to build unified views for pharmacovigilance and compliance tracking. My analytical insights have led to measurable improvements in clinical trial processes and manufacturing yields. I am committed to continuous learning and applying my skills to drive impactful outcomes in healthcare analytics.

Skills

PythonSQLData AnalysisReportingGitData AnalyticsGitHubHTMLGoogle AnalyticsBusiness AnalysisMicrosoft PowerPoint

Education

Montclair State University
Dec ‘26

Master of Science in Business Analytics

GPA: 4.0/4.0; Coursework: Database Systems and Management, Data Visualization, Applied Business Statistics, Data Wrangling & Analysis, Data Mining, Business Processes for Analytics, Optimization Methods, Advanced Data Mining for Business & Artificial Intelligence for Business

Rajiv Gandhi Institute of I.T. and Biotechnology
Oct ‘20 - Aug ‘22

Master of Science in Biotechnology

GPA: 3.9/4.0

Experience

MS Analytics Student Tutor & Assistant @ Montclair State University
Aug ‘25 - Present

Facilitated targeted tutoring in core analytics courses, supporting over 50+ students and improving average grades by 15% through personalized instruction and conceptual reinforcement. Evaluated academic needs via Canvas and delivered strategic feedback, resulting in a 25% increase in student engagement and assignment completion rates. Developed a Python script to automate grading of over 170 assignments in under 60 seconds with individualized scores and feedback. Advanced career readiness outcomes by 20% via Capstone milestone monitoring and strategic faculty collaboration.

Healthcare Data Analyst @ Reliance Life Sciences
Dec ‘22 - May ‘24

Automated adverse event reporting workflows using Python, reducing manual processing time by 45% and accelerating safety signal detection across 3 clinical trial phases. Engineered SQL pipelines to extract and normalize patient-level data from LIMS and EDC systems, improving data accuracy for regulatory submissions and reducing query resolution time by 60%. Developed Power BI dashboards to monitor real-time clinical KPIs, enhancing visibility for cross-functional teams and reducing reporting lag by 2 days. Conducted exploratory data analysis on biologics batch data using Python, identifying trends that led to a 12% improvement in downstream yield and supported tech transfer decisions. Integrated multi-source healthcare datasets to build unified views for pharmacovigilance and compliance tracking, enabling proactive risk mitigation across 5 therapeutic programs.

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