Mechanical Engineer and Data Analyst driven by a passion for learning new technologies and fostering innovation with a total work experience of 5 Years. Skilled in using data analysis tools like Python, as well as data v…
Mechanical Engineer and Data Analyst driven by a passion for learning new technologies and fostering innovation with a total work experience of 5 Years. Skilled in using data analysis tools like Python, as well as data visualization tools such as Tableau and Power BI. Experienced in developing predictive models, conducting data analysis, Natural Language Processing (NLP) and improving production processes. Strong ability to communicate complex technical information to non-technical stakeholders and work effectively in cross-functional teams.
Ensuring compliance with postal regulations and policies, and maintaining accurate financial and operational records.
Applied data Analytics tools to identify customer requirements and suitably promoted different schemes like Recurring Deposit (RD), Postal Life Insurance (PLI), Public Provident Fund (PPF), Prime Minister's Suraksha Bima Yojana (PMSBY) etc.
Used different optimization and analytics tools to ensure cost effective mail delivery systems
Communicate findings and insights effectively to nontechnical stakeholders
Working with multi culture teams and built strong relationship with department staffs and customers
Ensuring compliance with postal regulations and policies, and maintaining accurate financial and operational records.
Applied data Analytics tools to identify customer requirements and suitably promoted different schemes like Recurring Deposit (RD), Postal Life Insurance (PLI), Public Provident Fund (PPF), Prime Minister's Suraksha Bima Yojana (PMSBY) etc.
Used different optimization and analytics tools to ensure cost effective mail delivery systems
Communicate findings and insights effectively to nontechnical stakeholders
Working with multi culture teams and built strong relationship with department staffs and customers
Forecasting System - Project Demand of Products at a Retail Outlet Based on Historical Data
Build a forecasting system to predict the demand of a products at a retail outlet based on historical data by creating a forecast model, applying concepts of moving averages, forecasting methods, ARIMA models and time series forecasting.
The model was able to predict future sales by training on the historical sales data.
Created Technical Documentations as a part of project
Worked as Data Analyst for collecting data and analysing customer patterns to promote Santhimadom Ayurveda products like Thailam and Arishtam
Used Microsoft Excel as a tool to analyse customer needs and prioritised products
Used Different Statistical tools to study the customer requirements
Used Microsoft Power BI to make useful insights and visualizations after Data analysis
Worked with Marketing and Social Media Teams to Promote the Ayurnano Products among public
Developed interpersonal and communication skills and guided students in academic Projects
Experienced in teaching Engineering subjects like Industrial Engineering, Operations Research, Engineering Graphics, Fundamentals of Computer Programming and Python etc.
Made numerous MS Power point Presentations and paper presentations in National Conferences.
Worked as coordinator of the team for NBA Accreditation Activities
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