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Hetvi Parekh
BASIC
Data Analyst Hetvi Parekh, Data Entry & Admin
Skills- Advanced Excel, SQL, R Programming, Python, Tableau, Microsoft Power BI, Web Scraping and Alteryx. Work Experience - Think360.ai Senior Data Analyst Associate / August 2019 - Present Pharmaceutical Industry - Payer Modeling • Worked closely with US based health economics and payer analytics consulting company to analyze and compare the position of a newly launched drug in a market and evaluate and quantify the contracting opportunities with top Payers/PBMs with highest potential for leading healthcare organizations involved in manufacturing of drugs • Helped client in understanding and creating a KPI that shows the ability of different payers to control the market and understand the impact on this ability with changes in formulary position of different drugs • Created and automated pre-modelling tool in Tableau to explore the behaviour of Market Share with different predictor variables • Developed Predictive models (using K-fold Cross Validation) to predict the change in Market Share with the change in coverage of drug for ADHD, PBA, Constipation and Skin Infection therapeutic areas • An active part of standardizing and automating the entire process into a packaged solution using SQL, R and Tableau with minimal human intervention and with independent and reusable modules that generate execution logs at each step to ensure data quality Pharmaceutical Industry - Report Automation • Creating various types of Reports for Managed Markets, Sales Force Effectiveness, High-Value Targets, etc. to help clients identify and target the Prescribers (virtually or in person) and devise a call plan for their Sales Representatives accordingly • Using R as a medium to extract raw data from cloud data warehouse (Snowflake) directly for the preparation of summaries with required KPIs that can be used to power the Tableau dashboards/Excel reports directly • Setting up end-to-end automated process in R itself which takes multiple user inputs and generates exhaustive quality checks in logfiles for the user Firm Development • Core member of the hiring panel and taking interviews on a regular basis • Member of the training panel which is responsible for providing training to the newly joined employees • Active part of the team which helps in Business Development of the firm
Data Entry & Admin
Data Scraping
Data Processing
Microsoft Office
Data Analytics
Data Vizualization
10 $
Lindiwe NYADZA
BASIC
Economics Lindiwe Nyadza, Data Entry & Admin
Tutored in the following subjects: Development Economics, Business Competition and Regulation, Introductory Macroeconomics, Economics of Money and Banking. Duties included: • Scheduling tutoring appointments with students. • Research on recommend textbooks, software, equipment, or other learning materials to complement tutoring. • Preparing and facilitating tutoring workshops, collaborative projects, or academic support sessions for small groups of students. • Participating in training and development sessions to improve tutoring practices. • Monitoring student performance or assisting students in academic environments. • Reviewing class material with students by discussing text, working solutions to problems, or reviewing worksheets and other assignments. • Preparing lesson plans or learning modules for tutoring sessions according to students' needs and goals. • Developing teaching or training materials, such as handouts, study materials, or quizzes. • Collaborating with students and teachers to determine student needs, develop tutoring plans, or assess student progress. SKILLS • Languages – English, isiZulu, isiXhosa and basic French • Use of Microsoft package • Use of Eviews and Stata • Academic writing and reporting • Active listening • Client Service/Communication • Leadership • Management and problem solving • Time management
Data Entry & Admin
Data Entry
Call Center
Email Handling
Article Submission
Data Vizualization
10 $
Mayank Tushar
BASIC
India, Patna
Data Analyst Mayank Tushar, Data Entry & Admin
Skills : • Microsoft Office (Word, PowerPoint and MS-Access) • Advanced MS- Excel • Python-NumPy and Pandas • Basic Web Wrapping • Hypothesis testing Inferential • SQL/NOSQL • Exploratory Data Analysis • Basic Machine Learning Techniques • MongoDB • Time management • Team Management Worked as Electrical Site engineer at Superwave communication and Infrasolution private limited (SCAIPL) from March’2018 to April’2020. • Execution, Installation, Billing, Design study, testing and commissioning of Electrical activities of the project. • Checking of deviation statement (cost & quantity) for the material as per agreement against the actual executed material. • Checking Electrical works concept reports and designs and drawings received from consultants. • Preparation of work schedules and carrying out resources planning and resource balancing. Tracking of work progress with respect to work schedule. • Coordinate with Project heads deputed at site regarding Electrical works. • Co-ordination with Architects, Consultant and Project Heads. • Discussing technical aspects of Electrical system with consultants and Project Heads. Graduate Apprentice Trainee - BHARAT ELECTRONICS LTD, BANGALORE in the department of Testing and product support in naval system Feb’ 2017 to Feb’ 2018. • Testing and troubleshoot of PCB’s modules and subsystem at bench level using ATE jig. • Testing and troubleshooting of Analog and Digital PCB’s Cards. • Experience on configuring Network Switches and Routers for the purpose of inter- subsystem communication. • Maintained relationship with clients to achieve quality product and service Projects Completed During my ongoing PG Diploma in Data Science Course ; 1.Credit Risk Analysis Case Study (Loan Credit): The main purpose of credit risk analysis is to quantify the level of credit risk that the borrower presents to the lender. Using following steps of EDA for Analysis: Data Collection, Data Cleaning, Data Pre-processing, Data Visualizations. 2.Bike Sharing Assignment (US bike-sharing provider Boom Bikes): This assignment is a programming assignment wherein we have to build a multiple linear regression model for the prediction of demand for shared bikes using manually method checking p-value and VIF of the variable in the model and through RFE Method. 3.Clustering Assignment (HELP NGO): As an analyst, we have to come up with the countries list that are in the direst need of aid. Successfully got same top 10 countries by analysing both models i.e., Kmeans clustering and Hierarchical clustering which are in dire need of Aid. Following are the analysis approach for this data collection and data cleaning, data visualizations, outlier’s treatment, scaling data, Hopkins Test, K-means clustering and Hierarchical clustering. 4. Lead Scoring Case Study (Education Company): Create a model in such a way that the customers with high lead score have higher conversion chance and low lead score have lower conversion chance. The ballpark of the target lead conversion rate is around 80%. Also, the model should be able to adjust if the company’s requirement changes in near future. Following are the step how we proceed with the assignment Reading and Understanding the dataset, Data cleaning, Data Transformation, Data preparation, Model Building and Conclusion. 5. Assignment - RSVP Movies; RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2022. I have to use SQL to analyse the given data and give recommendations to RSVP Movies based on the insights.
Data Entry & Admin
Data Analytics
Data Entry
Data Vizualization
Excel
Machine Learning
22 $
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