Worked on biological data that includes sequences, structures and biological pathways information of RNA to identify cancer-related Long Non-coding RNAs using machine learning models.• Data Collection: from online repositories Lnc2cancer, LncRNADisease and MNDR• Data Wrangling: cleaning, merging and removing duplicate values using pandas• Data annotation using ensemble ID• Obtained sequences of annotated data from Gencode• Did redundancy analysis during pre-processing of data• Features extraction: kmers from RNA sequences and conservation scores• Trained data on SVM and Random Forest models of Machine Learning using scikit-learn Our goal is to develop a method that would make the journey of providing low-cost and easily scalable solution in the process of diagnosis and prognosis of different complex human diseases one step closer.

• Languages worked on; Oracle SQL, PL/SQL, C# (.NET)• Logical Backup (Export and Import files)• Database Scripting in SQL• Displaying, fetching and updating records using .NET• Mapping Relational Schema and ERD of running systems• Error solving as part of database administration• Database designing, implementation (E-R Diagram)

Internship offered under PSEB ICT apprenticeship program

Work Detail• Access network (Operation & maintenance),Supervision of provisioning of PSTN, BB IPTV Connection, troubleshooting & maintenance of OSP network.• Working of DSLAM (Digital Subscriber line access multiplexer), physical installation of BB & IPTV connections & troubleshooting.• Working of MDF (Main Distributed Frame) in main exchange.• Working of EWSD, ZTE Switching system.• Physically worked on BnCC & CRM Console (all steps involved in provisioning of NTCS, Billing &Customer Care, and Customer Relationship Management).