Najmuddin Bohra Email & Phone Number

Hyderabad, Telangana, India

Hyderabad, Telangana, India

Project: Vivint | BrinksTool Used: Python | SQL | Kibana• Building an AI and ML solution for Proactive Customer Retention• Enriching the client data by web scrapping demographic data such as crime data and census data based on zip code for model optimization • Using classification algorithm to predict customer churn and using the calibrated churn probability to predict remaining lifetime and value for each customer• Performing sentiment analysis on customer calls… Show more Project: Vivint | BrinksTool Used: Python | SQL | Kibana• Building an AI and ML solution for Proactive Customer Retention• Enriching the client data by web scrapping demographic data such as crime data and census data based on zip code for model optimization • Using classification algorithm to predict customer churn and using the calibrated churn probability to predict remaining lifetime and value for each customer• Performing sentiment analysis on customer calls data and feedbacks to answer customer’s pain points and improve retention• Performing probabilistic analysis on various customer features to optimize model output.• Creating offer recommendation engine to boost service extension and customer saves Show less

Hyderabad Area, India

Tools Used: Tableau, Python, SQL, Advanced Excel Description: ▪ Create Dashboards and reports to regularly communicate results and monitor key metrics▪ Providing regular insights to stakeholder highlighting KPIs and impact of product enhancement▪ Identify and track acquisition and retention KPI for users through a data-driven approach▪ Generate ideas for exploratory analysis to shape future products and provide recommendations for actions▪ Discover the information… Show more Tools Used: Tableau, Python, SQL, Advanced Excel Description: ▪ Create Dashboards and reports to regularly communicate results and monitor key metrics▪ Providing regular insights to stakeholder highlighting KPIs and impact of product enhancement▪ Identify and track acquisition and retention KPI for users through a data-driven approach▪ Generate ideas for exploratory analysis to shape future products and provide recommendations for actions▪ Discover the information hidden in vast amounts of data and help make smarter decision to deliver even better products▪ Design data pipeline and deploy ML algorithm to effectively capture, transform and leverage data Show less

Pune Area, India

Description: ▪Ensure Accuracy and Positive User Experience for dashboard which provides interface to customers and Insurance agent for accessing relevant detailsRole: ▪Review functional and design specifications to ensure full understanding of individual deliverables ▪Identify Business requirements from specifications, map use case requirements and design coverage plan ▪Develop, document and maintain functional use cases and other artifacts like the use data, data… Show more Description: ▪Ensure Accuracy and Positive User Experience for dashboard which provides interface to customers and Insurance agent for accessing relevant detailsRole: ▪Review functional and design specifications to ensure full understanding of individual deliverables ▪Identify Business requirements from specifications, map use case requirements and design coverage plan ▪Develop, document and maintain functional use cases and other artifacts like the use data, data validation, harness scripts▪Hold and facilitate use case reviews with cross-functional teams ▪Identify any potential quality issues per defined process and escalate potential quality issues immediately to management ▪Ensure that validated deliverables meet functional and design specifications and requirements Show less

Pune Area, India

Language: PythonLibraries: Pandas, Numpy, PyPDF2, Nltk.Description: ▪ The project was intended to create feature to find similar resumes to make it easy for campus recruiters to discover and shortlist the right candidatesApproach▪ Resumes stores in a folder in PDF format were read and the text was stored in Pandas dataframe▪ Stopwords, exclaimations and junk words were removed to clean the resume text▪ TFIDF(Term Frequency x Inverse Document Frequency) algorithm was… Show more Language: PythonLibraries: Pandas, Numpy, PyPDF2, Nltk.Description: ▪ The project was intended to create feature to find similar resumes to make it easy for campus recruiters to discover and shortlist the right candidatesApproach▪ Resumes stores in a folder in PDF format were read and the text was stored in Pandas dataframe▪ Stopwords, exclaimations and junk words were removed to clean the resume text▪ TFIDF(Term Frequency x Inverse Document Frequency) algorithm was implemented to find weight of each word in the resume text▪ Similarity score between was calculated by iterating with all the possible pairs of resumes using cosine similarityOutput: ▪ Final output was given in form of csv format highlighting the similarity score as well as reasons for similarity Show less