Neeta Jamdhade

Skilled professional with experience in pricing operations and data analysis. Able to prepare accurate quotations, analyze client requirements, and support sales strategies with data-driven insights. Strong in handling operational tasks, managing client/vendor records, and ensuring smooth coordination between teams. Proficient in using data to improve pricing models, track performance, and support decision-making. Committed to accuracy, efficiency, and delivering results on time.

Data Analysis with Excel and Python | Completed: Jan 2024

• Explored data cleaning, visualization, and statistical analysis
• Worked with Excel functions, pivot tables, and dashboards
• Used Python (Pandas, NumPy, Matplotlib) for analyzing large datasets
• Applied data analysis in business decision-making scenarios

Data Science Specialization | Completed: Mar 2024

• Covered data cleaning, exploration, statistical inference, regression models, and machine learning
• Worked with R and Python for data manipulation and visualization
• Built predictive models, and performed data-driven decision-making
• Completed hands-on projects using real-world datasets.

Base SAS Programming Certification, SAS Institute| Completed:

• Gained foundational skills in data step processing, importing and exporting data, and dataset manipulation
• Used key procedures like PROC SORT, PROC PRINT, PROC MEANS, and PROC FREQ for basic data analysis
• Applied conditional logic, functions, and loops for data transformation
• Created summary reports and visualizations to support data interpretation
• Gained hands-on experience with clinical trial data, following CDISC standards (SDTM/ADaM)

Clinical Trial Data Analysis (Phase II/III Study) 

Objective: Analyzed the efficacy and safety data from a randomized clinical trial of a new antihypertensive drug, Responsibilities:

• Created SDTM and ADaM datasets from raw clinical data, as per CDISC standards
• Generated tables, listings, and figures (TLFs) using PROC REPORT and PROC SGPLOT
• Conducted an adverse event and demographic analysis using SAS procedures
• Validated and QC’d datasets and outputs from junior team members; tools: Base SAS, SAS/STAT, SAS Macro, CDISC, SDTM, ADaM

Forex market data analysis

Objective: Analyzed historical foreign exchange rates to assist in the currency hedging strategy, Responsibilities:

• Collected real-time FX data and analyzed volatility patterns
• Built ARIMA and GARCH models to predict short-term price movements
• Shared predictive insights with the treasury team for hedging decisions. Tools: Python (statsmodels, arch), Excel, Bloomberg API

Design and analysis of a 15-ton hydraulic press machine for baffle stuffing

Design and fabrication of a welding burr-removing machine

I hereby declare that the above written particulars are true to the best of my knowledge and belief.

• Date of Birth: 04/25/98
• Gender: Female

• Marathi
• English
• Hindi
• French

• Performed FAT (Factory acceptance test), With Aurobindo pharma, SMT at Mack Pharmatech For stability and walk in stability chamber.
• Attended Rockwell Automation, For Data capturing, Data monitoring and data recording software - 21 CFR compliance DAAS 4.1 updated version at Mack.

• Drawing and Crafting
• Cooking
• Trekking and exploring new places
• Singing and Dancing