Manjil Shrestha

MANJIL SHRESTHA DOB:- Phone: - Dietrichstr. 77 -LinkedIn: https://np.linkedin.com/in/manjil-shrestha-038527b4 Gitlab: https://gitlab.com/smanjil1 Github: https://github.com/smanjil Bonn, 53175 Germany Languages: English (C1) German (A2) Computer Science and Information Technology graduate, keen to expand knowledge and skills in Data Engineering and Machine Learning. EDUCATION Msc Rhein-Waal University of Applied Sciences, Information Engineering and Computer Sciences, Date 2018 -2020 Bsc Tribhuvan University, Computer Science and Information Technology, Date- Diploma Tribhuvan University, Computer Engineering, Date- SLC Gyankunj Academy English Boarding School, Schooling, Date- TECH SKILLS Programming: ● Python ● ● ● ● ● ● ● ● ○ Web development (Django, Flask, Jinja templating) ○ API (Falcon API, Swagger) ○ Web Crawling/Scraping (Scrapy, Selenium, BeautifulSoup) ○ Data Analysis (Pandas, Numpy, Jupyter Notebook) ○ Machine Learning/NLP (Scikit-Learn, NLTK, Fasttext, BERT) ○ Luigi, Airflow, Celery ○ Apache Kafka Data Engineering ○ AWS (VPC, IAM, Security groups, RDS, Redshift, S3, Glue) Javascript (VanillaJS, Jquery, Vue.js) CSS (Bootstrap, Bulma) Databases (Mysql, Postgresql, MongoDB, CouchDB, Mongo Atlas) OPS: ○ Vagrant, Docker, Gitlab CI, Kubernetes, Helm Chart, Bash Scripting, AWS, Supervisor E-commerce Data Migration ○ (Magento 1 to Magento 2, Yahoo to Magento) IVR apps: Asterisk (Adhearsion, ARI) Tessearct OCR Applications: Jira, Git, Trello, Heroku, Gitlab Platforms: Linux, Windows, Mac PROJECTS ETL for scraping. ○ Performing a simple ETL workflow. ○ Collecting questions and tags from stackoverflow. ○ Storing in mongo database. ○ Tools Used: Python, Beautiful soup, Apache Kafka, Mongodb. Tag Prediction for StackOverflow Questions. ○ Working on Applied Research Project(ARP-02) for second semester course project. ○ Scraped stackoverflow question and its tags for various main tagged sections (python, aws, php,...) ○ Utilized fasttext to perform the training and evaluation. ○ Used Flask to create a minimal web app to communicate with the model to perform the prediction for new questions. ○ Tools Used: Python, Flask, Jinja, Pandas, FastText, NLTK, Bash, Scrapy Comparison and prediction of air quality system of NRW and Berlin. ○ Working on Applied Research Project(ARP-01) for first semester course project. ○ Collected environment data from both states. ○ Performed some analysis like which state has more occurrence on the respective chemical factors. ○ Tools Used: Python, Flask, Jinja, Pandas, Google Charts Weather/Temperature detection and updating on the webpage every 5 minutes. ○ Project in progress for Distributed Systems first term in university. ○ Used DHT11 sensor to collect temperature data within every 5 minutes. ○ Stored it in mysql database. ○ Displayed the data in a web page using a barchart from Google chart. ○ Tools Used: Python, Flask, Jinja, mysql, Raspberrypi, ngrok, GoogleCharts, DHT11 sensor Developed web crawlers/scraping system to get data from sites like stack over flow and present in ui. ○ Lets users create their own projects and define xpaths, then calls a background job to crawl the data and provide a download ready data ○ Tools Used: Python, Scrapy, Selenium, Postgres, Celery. Developing an e-commerce type project. ○ Testing to deploy Django and postgresql on heroku. ○ Tools Used: Python, Django, Postgresql, Bulma CSS, Heroku. Migration of data from Magento 1 to Magento2, Yahoo store to Magento 2. ○ Export data from Magento1 store. ○ Transformed it into the acceptable format for the target store. ○ Used Python, mysql, pandas for this task. ○ Created an import ready csv to migrate to the target store. ○ Tools Used: Python, Pandas, Mysql, Magento, LibreOffice. Real Time Twitter Sentiment Analysis, Final Year Project, 7th Semester, 2016 ○ Utilized tweepy library to collect tweets. ○ Performed some pre-processing for the tweet data. ○ Created a basic ML task script like TF-IDF. Bayes model. ○ ○ Created a minimal web page to show the tweet sentiment scores. Tools Used: Python, Django, Naive Bayes Classifier, Google Charts, NLTK, Pycharm Library Management System, Database Project, 4th Semester, 2014, ○ Tools Used: HTML, CSS, Php, Mysql, Netbeans WORK EXPERIENCES Software Engineer - G&L Geißendörfer & Leschinsky GmbH ○ Participate in an existing choir manager project. ○ Dockerized/AWS deployment. ○ Python/Django/Celery/Flower/Redis/Mysql/Bootstrap/ReactJS/AWS Working Student - Python/Django developer at G&L Geißendörfer & Leschinsky GmbH ○ Refactoring/Migrating existing webapp to newer version. ○ Dockerized deployment. ○ Python/Django/Celery/Flower/Redis/Sqlite/Bulma/ICES-streaming Msc. Thesis (Development of Language Model for Medical Domain) ○ at Damedic GmbH ○ Nov 2019 to Aug 2020 ○ Using NTS-ICD10 German medical texts as evaluation. ○ Scraped German medical articles as data for fine-tuning. ○ Performed some experiments on token masking. ○ Analyzed label conditional occurrence on hierarchical ICD-10 labels. ○ Using pytorch-BERT to fine-tune and evaluate the language model. Working Student - Python developer at Damedic GmbH(Sep 2018 to Oct 2020) ○ Participate in the data-pipeline process, and creation of web applications to manage and optimize data identification processes. ○ Import and export of data utilizing AWS s3. ○ Deploying using Kubernetes. ○ AWS batch job. ○ OCR for text extraction. System Operations at “Peerity.io” (July 2018) ○ Compiling Peerity codebase in aws as well as documenting along. Scraping Engineer at “Native Ad Buzz” (2018 January - 2018 March) ○ Remote developer to scrape all the native ads from different publishers. ○ Deploying and testing the scrappers in aws. Associate Software/Data Engineer at “Grow by Data Services” (2017 April 2018 February) ○ Migrate e-commerce data from a platform to another. ○ Scraping e-commerce sites to get product details. ○ Participated in a comparator app using Django/Selenium to see the effect of data migration. Jr. Software Engineer at “Young Innovations Pvt. Ltd” (2016 Nov - 2017 March) ○ Developed IVR system. ○ Maintaining the existing ERP system in Django/Mysql. Internship/Trainee at “Young Innovations Pvt. Ltd” (2016 March - 2016 October) ○ Maintained/Added features to existing ERP system. ○ Maintained/re-writing the existing scrappers.