Aman Jain Email & Phone Number

Delhi, India

India

🔵 Worked extensively with Hadoop and Spark, building large-scale data processing pipelines to handle and analyze big data.🔵 Contributed to the development of the streaming experience of Deepiq's Datastudio tool, collaborating within a team to build robust and reliable real- time data processing capabilities.🔵 Utilized Airflow to design and implement a scheduling solution for complex data pipelines, ensuring timely and efficient execution of data workflows.🔵 Regularly worked with Azure and Databricks, leveraging the power of cloud computing to build scalable and efficient data solutions.🔵 Possess a deep understanding of the big data ecosystem, including technologies such as Hadoop, Spark, Hive, and Pig.🔵 Applied knowledge of geospatial data and image classification techniques to successfully detect copper mines in a specific geology, demonstrating a strong ability to apply cutting-edge data science techniques to real-world problems.

Dubai, United Arab Emirates

🔷 Developed sports models to predict odds of winning for cricket and tennis matches.🔷Led a team of five people in developing an OCR tool to scan balance sheets, improving efficiency and accuracy of financial data processing for clients.🔷 Worked on time series modeling for various cryptocurrencies using statistical techniques and machine learning algorithms.🔷Utilized a range of data sources and advanced algorithms to achieve high accuracy in sports models and time series modeling.🔷Gained valuable experience in team management, project planning, and communication, as well as a deep appreciation for the power of data and machine learning to drive innovation and solve complex problems.

Delhi, India

🟣 Developed models that could filter out PII from sensitive financial and medical data, utilizing lightweight algorithms and concepts of probability to solve this complex problem without relying on unstable deep learning algorithms.🟣 Conducted research on the AWS marketplace to identify the best possible place to market the desktop application, which involved developing IPC scripts using electron.js technology.🟣 Tested the software on various types of datasets to provide informative representations of everything done in this project.🟣 Used deep learning techniques such as autoencoders and synthetic data vaults for the anonymization of time-series data, showcasing my skills in advanced machine learning and data analysis.

Kanpur, Uttar Pradesh, India

⚫ Leveraged machine learning concepts to solve real-world problems such as text summarization, chatbots, and stock price prediction using time series analysis.⚫ Gained an in-depth understanding of the architecture and application pipeline of popular ML models like perceptrons, CNNs, RNNs, LSTM, and linear separatrix.⚫ Utilized Python programming language to interact with various IoT modules like Raspberry Pi and NodeMCU, and collected data from infrared and ultrasonic sensors.⚫ Trained autonomous robots using lab-collected and self-collected data.⚫ Acquired hands-on experience with ESP8266 WiFi module, DC motors, servo motors, Arduino Nano, NodeMCU, and motor driver modules.⚫ Familiarized with the Anaconda distribution and all the features of the Google Collaboratory platform, which offers free GPUs for machine learning enthusiasts.