Syed Sharjil

Experience

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  Arduino 101

  Nov 2019 - Jan 2020

  Technical Lead and Organizer

  Organized a hands-on workshop on data collection, visualization and analysis using Arduino, SQL and Tableau.Mentored 80 students in interfacing sensors with Arduino ,collecting and storing data to SQL databases

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  Getboarded

  May 2020 - Jul 2020

  Data Analyst

  CAREER PREDICTION ENGINE- Performed exploratory data analysis on individual profile information coming in throughonline forms- Built an ensemble random forest classification model using profile attributes asindependent variables and adopted careers as target variable- The model outputs were displayed to new users as highly recommended career choicesbased on their inputs- The user engagement increased by ~35% after the career prediction feature was rolledout

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  Urban Roots

  Jan 2021 - Mar 2021

  Data Scientist

  COMMERCIAL VALUE CHAIN BI REPORTING- Built and automated the creation of business data mart – which was the single source of datato report KPIs for all manufacturing plants across India- Implemented a data quality management layer to the harmonized data source to improvethe quality and scope of data driven decisions;- It was subsequently leveraged to refresh 20+ dashboards -- resulting in 80% man-hourssavings

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  Voltaware

  May 2021 - Dec 2021

  • Data Analyst - Research

    Aug 2021 - Dec 2021

  • Data Analyst Intern

    May 2021 - Jul 2021
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  Tiger Analytics

  Jan 2022 - now

  Route Optimization- Designed and implemented a Pulp-based optimizer for the world's largest commercial real estate company, streamlining the allocation of delivery associates across multiple delivery centers.- The optimizer, factoring in workload and travel distance, delivered optimal solutions for resource allocation.- Successfully scaled the final solution to diverse geographies, including the US, Europe, and Asia.- Significantly reduced total travel distance by approximately ~80%, leading to substantial cost savings.Improved operational efficiency by ~67%, enhancing overall delivery processes and resource utilization- Delivered the final product through a user-friendly Dash-based frontend.Decision Model Automation- Transformed rule-based processes by organizing them into a tree based rule models (DMN models), replacing Word documents and creating a structured framework for business rules- Developed a Python-based XML parser, optimizing the conversion of these DMN models into a tabular format, resulting in a 40% reduction in processing time for structured rules- Established an end-to-end data pipeline for data ingestion and application of rules- Created a user-friendly Dash-based frontend, enabling end users to create and upload DMN models and conduct A/B tests on various data sets, facilitating comparisons between outputs derived from different DMN modelsRoof Analytics - Built an end to end data pipeline using AWS Lambda for getting service request and customer data from various API endpoints and storing the same in S3- Leveraged the data to built a combination of machine learning model and business rules to predict the replacement of a roof at a given time- Built a dashboard in Tableau to display the results to the end user- Integrated a budget optimizer in Tableau order to suggest the total number of roofs that can be replaced within a given budget Show less

  • Data Scientist

    Jan 2024 - now

  • Senior Analyst

    Jan 2022 - Jan 2024