Mohammed Jawhar Email & Phone Number

Armonk, New York, NY, US

xWF for the Google Core Data

Scottsdale, Arizona, US

• Led a team of five to implement analytical models, including ARIMA for sales forecasting and multivariate regression for assessment of marketing channel contributions, data-driven decision-making and optimizing.
• Developed complex machine learning pipelines utilizing LightGBM, XGBoost and CatBoost regression algorithms to create customer lifetime value models on Sagemaker with a focus on R2 score & MAE, 35 % gain in model.
• Utilized churn prediction model outputs to prioritize retention efforts, tailor intervention strategies based on segmentation analysis, and quantify financial implications of churn, resulting in a reduction of 40.
• Conducted rigorous testing and analysis, including customer segmentation and A/B tests, to validate marketing strategies and refine models precise evaluation of marketing channel effectiveness, driving data-driven.
• Engineered dynamic views using Azure SQL and YML files, employing nested SQL queries in Azure DevOps to calculate key metrics for upper management, optimizing performance and real-time data availability.
• Orchestrated the creation and maintenance of a decision-centric database on Azure DevOps, utilizing sockets and connectors to streamline stakeholder decision processes with timely and accurate information.

Miami, FL, US

• Led a team to design and deploy ACA LTV model based on company and stakeholder rules, along with geographic market monopoly and census data to bring the base models from a MAE of $335 to $156, resulting in error.
• Collaborated with product managers to define requirements and successfully launched an NLP-based recommendation system through user intent analysis using cosine similarity, TF-IDF, and Levenshtein distance, resulting.
• Conducted SHAP and Lime techniques for ML Model Explainability, identifying crucial variables that influenced the conversion probability of health insurance plans, increasing conversion rates by 56%
• Implemented marketing mix strategies for Google and Bing using decision trees to identify the most influential marketing channels optimize advertising spend, resulting in a 25% increase in website traffic and a 20%.
• Coordinated a team of 12 data scientists working on 6 different projects for insurance, finance, marketing, and concierge departments
• Designed a User Intent tracking system integrating TRON user identity with Google clicks for an UI/UX project to identify marketing campaigns that drive leads, leading to a 25% improvement in lead generation.

New York, NY, US

• Annalect's MMM solution utilizes a range of advanced statistical techniques, including regression analysis, time-series analysis, and machine learning, to help clients optimize their marketing investments. The solution.
• Prediction and Insight analysis of highly customizable Marketing Mix Modelswhich involves specialized, nested regression models, regional-level models,forecasting, optimization and building dashboards.
• Identified & measured the impact of over 400+ marketing channels using dataanalysis, to optimize & recommend clients’ media investments which led to 20%increase in yearly ROI.
• Optimized structured & unstructured data standards for uniformity, utilizing500+ lookup tables with version tracking, resulting in a 89% accuracy inpredicting the quarter ROI
• Conducted analysis of Marketing Mix Models to provide clients with valuable insights and recommendations for optimizing media investments.
• Utilized data analysis to identify and measure the impact of various marketing channels on clients' ROI.

Orchestrated comprehensive brand initiatives encompassing logo design, web development, and social media strategies.Proactively engaged stakeholders, ensuring effective communication to exceed expectations and establish a compelling brand identity.Drove impactful and cohesive brand management, consistently meeting and surpassing stakeholder expectations.

New York, NY, US

Recommend and execute marketing strategies to meet business objectives.Conduct market research, including competitive benchmarking, and analyze event effectiveness used to inform decisions regarding strategic marketing direction, product segmentation, and customer targeting.Assess market opportunities and track market trends. Recommend marketing.

Integral in laying the organizational foundation through collaborative efforts in business development.Conducted targeted market research by engaging with potential clients, students, professors, and psychiatrists to gain valuable insights.Applied findings to inform strategic decisions, contributing to the organization's growth and market positioning.

Chicago, Illinois, US

Contributed to marketing team initiatives, ideating and executing promotional strategies through video production. Spearheaded podcast editing and content creation, enhancing brand engagement and visibility.

Mumbai, Maharashtra, IN

• Supervised and coached 4 SDs in building a Django-based website utilizing PostgreSQL and integrating a neural network model for complaint categorization.
• Formulated timelines and resources for 3 software development projects, validating criteria accuracy & ensuring projects remained on track.
• Optimized Machine Learning models performance by 20% through collaborating with Professors and PhD candidates to find innovative solutions & assisted in designing prototypes.
• Created the UI design, Logo, Product Showcase video and assisted with marketing and analysis of the product.
• Developed web scraping scripts using BeautifulSoup to transfer Wikipedia articles into a video format with audio, enabling blind & dyslexic users access to information.
• Developed natural language processing algorithms to classify complaints based on their content, resulting in a 30% increase in accuracy and redirecting complaints to the responsible organization for resolution.

Abu Dhabi, AE

• Implemented data strategy at the organization to implement an OCR algorithm to help convert the hard copy receipts of sales and inventory receipts into structured csv files and then further transferred to the databases.
• Led team in integrating new software with existing systems using Data Analytics tools such as SQL Server Integration Services (SSIS) and trained staff on how to use it effectively.
• Collaborated with cross-functional teams to revamp the user interface of a large e-commerce website, with cross-browser compatibility and responsiveness, to improve user experience and increase conversion rates by 43%
• Conducted analysis using Data Analytics tools such as Tally and made recommendations for process improvements resulting in a reduction in errors and improved efficiency.
• Collaborated with cross-functional teams to identify and resolve technical issues using Python libraries such as TensorFlow and PyTorch, resulting in increased productivity and cost savings.
• Spearheaded the company's data analytics efforts, developing and implementing data-driven strategies to improve business operations and increase revenue.

Successfully executed Below-The-Line (BTL) marketing initiatives, resulting in increased brand awareness and customer engagement.Revamped and optimized a redate program, resulting in improved customer retention and increased sales.Effectively managed incentive programs, leading to enhanced employee motivation and performance.Implemented effective.

Master Of Science - Ms, Computer Science

Diploma, Leadership Principles

Diploma Of Education, Product Management

Bachelor Of Engineering, Computer Science

Higher Secondary School, Mathematics And Computer Science

High School, Mathematics And Science