Pursuing MBA and interested in data analytics field.
- 500+ /hr
Currently I am pursuing M.Sc. (Applied Statistics and Analytics) from NMIMS. I have a working experience of around 18 months at Nielsen. I have gained hands on experience at using Statistical techniques like Sampling and estimation for calculating the optimum sample for cities and villages and estimating the universe of stores using the ratio estimate method. Automation of BAU activities which includes logic check, trend check and other QC parameters for census data using R. Instrumental in managing and handling RMS data and conducting research to ensure delivery of quality reports to the FMCG clients. Analyzing and visualizing for trend check of estimated sales using Spotfire. While working as an intern at Hopstoch.in I was instrumental in creating SQL queries for our clients for uploading delivery status & helping them with reports/KPI in excel on daily basis. Coordinating with their finance team and understanding their requirements and executing them in SQL. Providing timely and error free reports to understand the business need using EXCEL and SQL. Understanding our company?s data and analyzing according to the requirement and executing on SQL for desired output. I also got an opportunity on working a live project for of Business Optimization for Charcoal Biryani (Online Food Joint). Helping Charcoal Biryani to dig deep into their business by providing them with different customer segments based on customer\'s Frequency, Recency, Engagement, Value so that they can run different campaigns for different segments of customer\'s. In addition to this through Principal Component Analysis we allot tiers to segment and design loyalty program for top tier customers. We have also done Market Basket Analysis to check for most combination of products that is been purchased. I have also worked on a Research paper of Impact of Urbanisation on biodiversity. The purpose of the study was to understand how the factors contributing towards urbanisation have an impact on biodiversity through descriptive and exploratory analysis. To cluster and identify countries which fall in the same category of urbanisation and the impact which it has on biodiversity. To understand how biodiversity behaves in countries which are most urbanised against the countries that are least urbanised through K-Means clustering technique. We also build a Multiple Linear Regression model to predict the change in biodiversity through various factor of urbanisation. To understand which all factors of urbanization should be considered to help flourish biodiversity.
- 300+ /hr
analyzing and interpreting complex data sets makes me happy, and I am known for being flexible, resourceful, and for achieving goals while maintaining a positive outlook. Expertise in Statistical models and machine learning algorithms.
I\'m Sai, an adept, analytical, and detail-oriented Data Science Professional and freelancer with over 4 years of academic & Research experience in Data Analytics, Machine Learning and Big Data Technologies and around 3 years of work experience in Data Collection, Preparation, Exploration, Model building and Evaluation and Data Visualization.Good in delivering research-based, experimenting with predictive models and explanatory analysis to discover meaningful patterns and data-driven solutions that move organisational visions forward.
Successfully completed a number of courses from academia, and worked on various projects in a wide range of sectors.
Capable of turning dry analysis into an exciting visualisation story using data visualisation tools that influence the direction of the business and communicating with diverse teams to take a project from start to finish.
- 1,000+ /hr
2 yrs experience in data analytics
? Strategist, Business Analytics Solution Provider, Big-data Analytics Evangelist, Certified SCRUM (Agile) Product Owner [CSPO] and Techno Functional Engineer offering experience of 9+ years across different domain & industries spanning multiple roles such as Big Data analyst, Sr. Financial Fraud analyst & Consultant, Sr. Product/ Account Manager, excellent leadership, and project management (Agile Scrum/Kanban).
? Technical expertise in the implementation, business process integration, zeroing on strategic bottlenecks, gap analysis in the operations and deployment of the solutions created.
? Maintenance and performance monitoring, support functions of mission-critical business solutions using IT tools & techniques.
? Exposure to Product Management (Certf. SCRUM Product Owner), New Vendor Integration, FinTech Technologies, Data Governance, Customer Advocacy, Product Delivery/Marketing & Analytics in Cloud based environment.
? Strong Business Acumen handling diverse multi-National clients. Proven ability to carry out Capacity planning, handle complete project life cycle and Global projects\\\' delivery.
? Vendor evaluations, Integration to internal intelligence system, Cost negotiations and agreement extension bringing best technology consulting to enhance existing system.
? Articulate communicator (Influence & Negotiation) with strong analytical and interpersonal skills; skilled at collaborating with project teams, interfacing with clients and deploying technology to build successful solutions for clients.
? Experienced in creating and executing Product Release plans. Track record of delivering innovative products and ability to work effectively with big sized teams. Ability to think creatively, analyze quantitatively, problem-solve, scope technical requirements and prioritize. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope.
Analytical concepts : Hypothesized Predictive data Analytics, Decision tree, Clustering & segmentation, Machine Learning, Amazon AWS data and analytics solutions, Python Analytics Packages.
Virtualization/Reporting Tools : Tableau, Qlikview, R-studio Analytics, Visio UML Model, GraphDB modeling & Virtualization, MS Excel [Statistical tool].
Database & Cloud Infra Env : MS-SQL, Hive, NoSQL, Python basics, Amazon AWS cloud, CDH5.4.9(Hue 3.7.0).
- 2,000+ /hr
Associate professor at Nmims University , SBM
- 2,000+ /hr
I help businesses understand their data better. I provide data driven intelligence for increasing revenue, decreasing costs and optimising operations.
I have successfully built complete data architectures from scratch integrating disparate data sources, filtering and analysing data, drawing insight, creating custom dashboards and reports.
Major work includes,
1) Identified areas of opportunity to improve business ROI, increase revenue, decrease costs.
2) Architected, developed, and deployed exploratory and predictive analytics tools.
3) Analysed, integrated and mined large datasets to draw patterns/inferences
3) Provided exploratory and predictive analysis.
4) Developed and delivered custom dashboards, reports, and portal views for monitoring
5) Ensured data quality and accuracy by working collaboratively across the organisation.
I advise and use technology that is the best fit to the business at hand which varies from open source to proprietary software.
My expertise includes Python, R, Matlab, Talend, AWS RDS, AWS S3, AWS Kinesis, AWS Athena, AWS Glue, Microsoft Power BI, Tableau, Google Data Studio, Jaspersoft and more.
- 1,500+ /hr
I?m an avid FOSS (free and open-source software) enthusiastic and contributor, Interested in Big Data Analytics, Data Science, Machine Learning, and AI, I have around 11+ years of overall experience in Application Development and Data Analysis, and also gained insight experience in the Web technologies, Data Warehousing, Text Analytics,. I have handled various roles in the past 11 years of experience like Team Leader, Analyst Programmer, Technical Consultant, Project coordinator and Production Support roles. I have strong technical primary skills in Python, SQL, ETL, Data Migration projects which deals with reverse engineering and Data Science and Big Data Analytics.
- 3,230+ /hr
Identify relationships and trends in data, as well as any factors that could affect the results of research.
? Report results of statistical analyses, including information in the form of graphs, charts, and tables.
? Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
? Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
? Develop software applications or programming to use for statistical modeling and graphic analysis.
? Develop and test experimental designs, sampling techniques, and analytical methods.
? Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
? Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
? Process large amounts of data for statistical modeling and graphic analysis, using computers.
? Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- 1,000+ /hr
• Experience in Data Analytics with experience on statistical tools SAS, R, Python, Excel, and Machine learning.
• Have hands on experience in R and Python
• Have hands on experience in TM1 Architect.
• Knowledge of Shiny.
• A team player with the strong communication and interpersonal skills.
• Ability to work independently and in a Team Environment.
- 1,500+ /hr