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.
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
GPA: 3.9/4.0
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.
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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