I’m a strong believer of learning at every step in life, I am a very amicable and approachable person. I believe in leading a team by staying with the team. I am also a team player and believe working together can bring out the best innovations. I am a perfectionist and like things accurate rather than easy. I like to grab an opportunity possible and give my 200% to whatever I do. I wish to be a data analyst and also encourage the spreading of automation using mathematical models, so that accuracy and consistency can be maintained and humankind can use time and energy saved to focus on bigger analytical problems.
Alston Quadros
Mumbai, Maharashtra
India
+91 8976018958
alston.quadros13@gmail.com
Bachelor's in Engineering (Computer Science) • Class of 2020
HSC • Class of 2016
SSC • Class of 2014
Global Presales Consultant• Sept 2022 - Present
● Work on building a functioning Sales Service Marking Demos customised for customers Proof of Concept across multiple sector of Business
● Architect in building DATANEXT a Data AI Tool for customer insights
● Constructed Multiple Models such as Customer Life Time Value (CLTV), Customer Satisfaction Predictor (CSAT), Lead Scoring Model and other AI driven insights aiding business take appropriate and timely actions.
● Automated Multiple business actions using SQL Scripting across an array of Databases such as MSSQL, Oracle, Mongo, Cassandra and PostgreSQL
● Collaborated on projects with clients across the globe ( Middle East, South East Asia and America)
● Designed and Architected multiple Dashboards for Clients across Banking Finance, FCMG, and other verticals.
● Build up a marketing tool to meet customer ask using Google Analytics and other SMTP, SMS API’s using Python and AWS Lambda.
● Deployed Application on both Cloud and On Premise Setup.
Customer Sucess Architect • August 2021 - Sept 2022
● Optimized and migrated pipeline from Virtual Machine to cloud using Azure Clouds. ● Analysed KPIs and created Dashboards for the Sales team of Reckitt. ● Enhanced client’s understanding of databases by creating manual dashboards and PowerBI reports. ● Improved customer satisfaction by resolving product issues | Worked on Swagger, Postman, Postgres & Spark SQL ● Increased revenue by working on Customer Relationship building & their issues as the primary contact. ● Built new data Pipelines on Python and SQL to implement hygiene sales data. ● Understood customer engagement and analysed reports by using Mixpanel and OneSignal Tools. ● Led an initiative to help client evaluate our product by analysing user usage and its impact on their sales.
Customer Sucess Engineer • July 2020 - August 2021
● Provided a deeper understanding of the product to our customer by solving business use-cases.
● Assisted multiple clients with Technical Support to integrate our tool on their Mobile/Web Application
● Engaged with Customers and teams like Engineering and Product to solve critical, complex issues related to products in a timely manner.
● Interacted with Sales and Finance team, for Customer Demos and Billing related issues/changes
● Improved product documentation by writing, reviewing, and assisting the Documentation Team.
● Provided Custom Solutions such as Cloud Connection and APIs for seamless connectivity to your databases
● Worked on Firebase, APNS, JavaScript, HTML, Email/SMS API’s and Splunk
● Created a Custom API Code using Google Sheets for customer to upload data into our product using Sheets Macros
● Solving and Driving Mobile Marketing for Clients
Data Analyst Intern • May 2020 - July 2020
Documentation of a detailed study on how air pollution has been affected by COVID-19 Virus. Visualization using Python Seaborn Library and Excel Dashboards. Predictive analysis using Regression and CART. Power BI for Data preprocessing and visualisation.
Data Science Intern • March 2020 - June 2020
The organisation trained me with the Data Science concepts and then later assigned tasks to implement concepts such as data pre-processing, classification / prediction and Data Visualisation.
Data Science Intern • June 2018 - July 2018
We created a project that consists of a prediction algorithm to schedule movies TV series etc for a movie channel, based on parameters such as basic viewing time, TRP, Ratings, and Cast to schedule a daily format for each channel. The tools used were python and excel, the predictive algorithms used were SVM, Random Forest and Logistic Regression.
As a Data Science Enthusiast the skills I have learnt over the years with work experience and also self research are listed below.
Syngenta Pvt Ltd• July 2019 - March 2020
The idea of this project is to focus on the need of a warehouse for efficient quick and safe commute of goods, to aid the problem by generating shortest routes for their transporter based on parameters such as distance, traffic, tolls, etc. The route will be the most time and cost-efficient and will also allow the warehouse in charge to track all such commute of his goods on a single screen. The project is an outhouse project in collaboration with Syngenta Pvt Limited. The project includes features such as Live Tracking, Inventory Management, Multiple Shortest Route Detection, OCR among others. The architecture of the project will consist of a Desktop Application (written in python) and a Mobile Application (created on Android Studio). This project will help a lot in acquiring beneficial insights into the logistics and supply field of the industry.
Kossine Pvt Ltd • Jan 2019 - July 2019
This project was created with the intention of saving time on reading in order to attain useful information.The application supported a Python (Tkinter) created User Interface, it summarises offline text files as well as online websites. The backend works on concepts such as Text Rank, analyzing POS tags using NTLK and Elimination of similar sentences using Cosine Similarity metrics.This project helped me step outside the bounds of basic Machine Learning and explore the concepts of Natural Language Processing.
The Shaadi Times • May 2020 - July 2020
The project consisted of Research on the Impact of Corona Virus (COVID-19) on social elements such as Air Pollution, Entertainment, Media and other aspects. There was concise documentation of the subject matter, there was also research on data, also finding trends and analysis to derive logical results. The analysis was done using Python and R, the visualisation was done using Tableau, PowerBI and also Seaborn and Matplotlib. There was also predictive analysis using Statistical Models.
St Francis Institute of Technology • June 2016 - July 2019
● College Allocation Code— using Data Structures
● Optimal Disk Scheduling Algorithm— using C
● Web Development with Database— using HTML CSS and PHP
● Implementation of ML Algorithms —using Python (Without Sklearn)
● Depth Analysers for Miners (IoT) —using Python (Ongoing)
● Image Classification --- using (TensorFlow CNN and Image Generator)
● Text Prediction --- using (NLTK RNN and TensorFlow)
Publications:
● Route and Cost Optimisation
International Research Journal of Engineering and Technology (IRJET)
● Text Summarizer for URL and .Docx Files
International Journal of Advanced Research in Computer Science (IJARCS)
Certification:
● Microsoft Python Certification
Marks: 96/100
Microsoft Technical Associate 98-381 - Introduction to python (2019)
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