Data Science Professional with more than 15 years of IT experience including 9 plus years of relevant experience in Data Science area and having professional degree in Business Analytics from Indian School of Business, H…
Data Science Professional with more than 15 years of IT experience including 9 plus years of relevant experience in Data Science area and having professional degree in Business Analytics from Indian School of Business, Hyderabad
Worked on different data science projects using GLM, KNN, SVM, Random Forest, Decision Tree etc
algorithms.
. Worked on different time series analysis case studies.
. Hands-on experience in (Natural Language Processing, NLP)-Data cleaning, data pre-processing,
structural and un-structural text mining, text classifications, language models, topic models,
RNN(LSTM), chatbot (NLU), etc.
. Familiar with machine learning tools and packages, such as sklearn, tika, pandas, numpy, NLTK,
Stanford CoreNLP, genism, etc.
. Creating on Chatbots using different frameworks Dailogflow, Kore.AI, RASA NLU, ChatterBot for
various industries / platforms.
. Proof of Concepts on Image / Object detection using Tensorflow.
. Proof of Concepts on Face / Object detection, Human Emotion detection using OpenCV.
. Proof of Concepts on Handwritten Text Detection using OpenCV.
. Forecasting the Support project Tickets to optimum loading of the resource and improve the SLA
meeting index of the project.
. Created Chatbots for
. e-Commerce Platform
. Insurance Platform
. Internal HR Policies
. Internal IT Support Tickets
. Microsoft Dynamics CRM
• Analyzed the industry landscape through secondary research to benchmark and design the product
• Coordinated with multiple stakeholders to create user personas, user journeys and wireframes
• Led a team in designing and delivering of ML & Advanced Analytics project
• Increased ROI of client by identifying high impact problem statements through cost-benefit analysis
Worked predictive models for projects to predict schedule overrun, defect density.
Managed organization level project health reports / metrics
. Providing project data insights to Senior management using different reports prepared by Tableau /
Excel.
. Managing customer feedback analysis across the organization.
. Creating dashboards using customer feedback data.
. Text analytics on feedback data and providing insights to senior management for CSAT
improvements.
. Created different predictive models for . Defect Density
. Schedule Overrun
. Employee Churn
. Forecasting the Support project Tickets on weekly basis to optimum loading of the resources and
improved the SLA meeting index (On Time Index) from 85% to 98%.
Helped SAMBA bank (Leading Bank in Saudi Arabia) IT wing to achieve their CMMI Development certification by defining, training and implementing internal processes. Created Statistical models to predict schedule variance and also created project health reports to check project performance.
Created different prediction models and handled customer satisfaction surveys across the organization. Customer Feedback / Experience Analysis: • To analyse the periodic customer satisfactions surveys and understand the customer feedback and C-SAT scores • Predict the C-SAT scores and identifying the customer churn. Customer complaint analysis / model: Analysing the customer complaints for the health insurance end users for 3 years data and present insights. Employee Attrition / Churn Prediction: To predict / forecast who will be the most probable attrite in each project. • Modelling data to create reporting & dashboards for business process management, executing quantitative analysis that translates data into actionable insights and driving data driven decision-making process. •CMMI Development certification by defining, training, and implementing internal processes. Created Statistical models to predict schedule variance and created project health reports to check project performance
Implementing customer process controls in projects, creating process awareness in project team providing project health reports to customer and identifying corrective and preventive actions to overcome project issues in order to delivery on time with minimal defects
Defining, training and Implementing CMMI processes across the organization
Defining, training and Implementing CMMI processes across the organization
Analyze the periodic customer satisfactions surveys and understand the customer feedback and C-SAT scores
Predict the C-SAT scores and identifying the customer churn
Analysed the industry landscape through secondary research to benchmark and design the product
Coordinated with multiple stakeholders to create user personas, user journeys and wireframes
Led a team in designing and delivering of ML & Advanced Analytics project
Process Performance Model to Predict Project Schedule Variance
Performance model to predict overall defect density
Defining, training and Implementing CMMI processes across the organization
Implementing customer process controls in projects
Creating process awareness in project team providing project health reports to customer
Forecasting the drug manufacturing quantity (Special drug)
Creation of the ChatBot framework to a specific eCommerce client
Created the ChatBot to insurance client to help new users to select different Health care plans based on different parameters like Life style, age, gender
Defining, training and Implementing CMMI processes across the organization
To analyze the periodic customer satisfactions surveys and understand the customer feedback and C-SAT scores
Predict the C-SAT scores and identifying the customer churn
Improved the customer satisfaction score from 65% to 85% across the organization level in a span of two years
Analyzing the customer complaints for the health insurance end users for 3 years data and present insights
Decision taken to focus on which geographical part of USA and resulted reducing the complaints of 15%
To predict / forecast who will be the most probable attrite in each project
Reduced the attrition from 18% to 7% in span of 18 months
To predict project level schedule variance at any given point of time to take proper preventive actions to complete project on time
Reduced organization level schedule variance from 12% to 6% in span of 2 years
To predict project level defect density based on review defects identified in Requirements and Design phases
Increased organization level overall Defect Density from 85% to 95% in span of 18 months
To Analyze the periodic employee satisfaction surveys and understand the employee feedback on various departments and their satisfaction score scores
Designed and deployed employee motivation and engagement programs based on the analysis. Resulting the survey improved by 12% (overall) in span of 18 months
To analyze the support project’s ticket data of last 3 years and created forecast model to number of tickets project team going to be receive for next week / month
Used for optimum loading of the resources and improved the SLA meeting index (On Time Index) from 85% to 98%
Modelling data in order to create reporting & dashboards for business process management, executing quantitative analysis that translates data into actionable insights and driving data driven decision-making process
CMMI Development certification by defining, training and implementing internal processes
Created Statistical models to predict schedule variance and also created project health reports to check project performance
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