Anmol Panchal

Software Engineer

E-mail: add1hv@r.postjobfree.com Phone: 407-***-****

GitHub: AnmolPanchal (Anmol Panchal) · GitHub Website: ANMOL SURESHKUMAR PANCHAL - Home LinkedIn: https://www.linkedin.com/in/anmol- sureshkumar-panchal-27257b79 Summary of Experience and Qualifications

A Diligent learner and Enthusiastic Problem Solver in Software Engineering and Data Analyst Services. 2+ year of relevant professional experience. Main area of expertise is: Workday Integrations Core (Certified), Workday HCM (Certified), Database systems (SQL, Oracle, SQL Server) and Data Analytics (Python, R, Excel). Interest in working in Financial, Media and Healthcare Sector. Previous Experience

Solution Analyst 2019/07 -2020/06

Deloitte Consulting LLP

• I served as Solution Analyst for Workday Integration Consultant on behalf of Deloitte.

• Proficient in reporting, business processes, integrations, and other areas within Workday HCM and Workday Integrations Core and has a very strong foothold on concepts of Workday Integrations and metrics like Security groups, Workday HCM Services Integrations.

• I possess a good Knowledge of modifying programs, debug, test and deploy with following proper SDLC/Scrum cycles.

• I posses a good Knowledge of modifying programs using XSLT (XSL Transformations) and HTML/XML programming tools like Oxygen XML Editor. Also designed and built both inbound and outbound EIB integrations related to HCM, Finance, Compensation, Benefits and Payroll of the Workday system and worked with Core Connector, Cloud Connector, Report Designer, Workday Studio, XML, XSLT, SOAP, and REST web services. Worked on building Financial Integrations both Inbound & Outbound related to Procurement, Punchouts, Purchase Order, Accounting, Ledger Records, Journal Lines. Salesforce Developer Intern 2018/07 -2018/12

University of Central Florida

• Trained new hires to use Salesforce.org platform.

• Worked on Knowledge Implementation, Process Builders, Workflow Rules, Validations, Triggers, Visual Force pages and Lightning Components Salesforce.org Environment.

• Also lead the team in process of Requirement Gathering and Knowledge

• Implementation in Salesforce as a Developer.

Database Developer Intern 2016/04 – 2016/08

INP Computer Technologies Pvt Ltd.

• Remote Monitoring & Management Tool - Thin Client, Kiosk, Digital signage.

• Database Cleaning, Querying & Management. (SQL, Oracle DB, Java)

• Assisted in Project management cycle and scrums.

• Create reports and derive statistics from the available data using Data

• Analysis in MS Excel.

Education:

Master’s in Computer Science

University of Central Florida, Orlando, FL (Year: 2017 – 2019) Bachelor of Engineering in Information Technology

Datta Meghe College of Engineering, Mumbai University (Year : 2013 – 2017) Skills:

Software/Products: Workday HCM, Finance & Integrations, Salesforce.org, MySQL, SQL Server, Oracle DB, Microsoft R Studio, Microsoft Power BI, R Studio,Amazon AWS IoT, Splunk, Wireshark, Tableau Development Tools / Languages: Python, R, SQL,, XML, HTML, CSS, Bootstrapping, Java, PhP, Big Data Hadoop Single/Multi Cluster.

Hardware/ Operating Systems: Windows O.S, Linux O.S, Kali Linux O.S, Fedora Middleware/ Databases: Oracle DB 12g/13g, Microsoft SQL Server 2016, Microsoft SQL Management Studio, Microsoft Visual Studio, Mongo DB.

General Tools: MS Office Suite, WinSCP, Xampp, NetBeans IDE, Eclipse, MyPhPAdmin, PyCharm, Atom, Sublime Text, Oxygen Developer Edition, Jupyter Notebook, Spyder, Wordpress. Professional Affiliations / Certifications:

• Workday HCM Services & Integration Core

• Data Scientist Using R and Python DATACAMP (*Intermediate Level)

• Object Oriented Programming in Python DATACAMP

• Oracle SQL Developer License UC-25R84FU4 (UDEMY ACADEMY) Training:

• Workday HCM Services, Integration Core, Reporting.

• Salesforce.org : Knowledge Implementation, Process Builders, Workflow Rules, Validations, Triggers, Visual Force pages, Lightning Components.

• Data Analysis, Statistical Analysis, Regression Analysis, Reporting, Data Preparation & Visualization in R and Python.

• Oracle, MySQL,MongoDB Database Systems.

• Data Privacy & Security and Incident Response Technologies. Projects/Publications:

Locality Sensitive Hashing (LSH) for Multi-Media Database systems: Java implementation for Minimum Hashing and LSH for finding near duplicates and false positives from documents as measured by Jaccard similarity. Locality-sensitive hashing (LSH) reduces the dimensionality of high- dimensional data. LSH hashes input items so that similar items map to the same “buckets” with high probability

(the number of buckets being much smaller than the universe of possible input items). LSH differs from conventional and cryptographic hash functions because it aims to maximize the probability of a “collision” for similar items. Locality-sensitive hashing has much in common with data clustering and nearest neighbor search. Hashing-based approximate nearest neighbor search algorithms generally use one of two main categories of hashing methods: either data-independent methods, such as locality-sensitive hashing (LSH); or data-dependent methods, such as Locality-preserving hashing.

Loc Safe:

It's an Application with Location and Query Privacy Protection Using Time Obfuscation, Dynamic Grid Modeling with AES 128-bit Encryption to ensure the location of the users are not exposed to adversaries and their privacy is maintained. This is important as 99% LBS applications use third-party server where location coordinates are stored and vulnerable to many attacks and privacy exposure vulnerabilities. So, this application is enforced by some strong algorithm to prevent such attacks and prevent privacy of the user's location being vulnerable from any attacks.

Trust Strive: Automatic Event Management Application Published Research Paper in ISTE Conference

(IEEE.org), 2017.

Members of companies and organization attend events and meetings on a regular basis and reaching the venue on time becomes a major concern. On part of the event coordinator, it is important to know if any member is going to be late for the event. Coordinating with each member of the event, to check whether he/she will reach the venue on time or not, through messaging and calling is inefficient and a lengthy procedure to follow in less span of time. Providing real-time location of the members helps to predict the arrival time of each member on the venue. It gives an idea to the event organizers whether to start their event on time or should they delay it by some time, so that every member reaches the venue and can attend the event from the very beginning. Also, if the event is going to be delayed all the other members could be notified about it well in advance along with the accurate information of the time of delay. This paper illustrates the idea of developing an android application that can help every organization or company to handle their events and meetings efficiently with best time utilization and also helps in analyzing: i) Footfall of the event; ii) Effectiveness of meeting iii) Feedbacks and suggestions; iv) Check in and check out time of each individual. The application will use Android platform along with Google Maps API and Fused Location Provider API for real time location tracking of each member. Also, statistics of the event will be reported directly to the administrator of the group and Event Coordinator. References:

Lathiya, Rashminkumar Mobile: +1-407-***-**** add1hv@r.postjobfree.com Ghosh, Dhiman Mobile: +1-732-***-**** add1hv@r.postjobfree.com Mansi Panwar Mobile: +1-407-***-**** add1hv@r.postjobfree.com

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