Hire the Best Legal Freelancers in Podgorica, ME

With 15+ years as a Data Engineer and M.S. in Math, my experience includes the development of ETL/Data Warehouse and Analytics dashboards for eCommerce, Marketing, and Banking. 𝙎𝙪𝙘𝙘𝙚𝙨𝙨 𝙎𝙩𝙤𝙧𝙞𝙚𝙨 1. Payments forecast with MAPE < 2%: Banks need to know their monthly cash inflow to plan new credits and attract investments. I have compiled historical payments from existing clients, organized by calendar month, loan date, and credit product. Used this info to iteratively forecast new payments from new credits. 2. Data Quality from 24% to 99%: fixed core table with account balances in a banking DWH. Analytics accounts in accounting equal the sum of the basic accounts. I made a list of clients with analytics and basic accounts that mismatch. Picked one basic account with the most zero balances across all clients. Statistically, it had the most chances of being wrong. Discussed it with the Admin of the source system, and after several find-and-fix iterations, he confessed there is a filter that does not export all the data into the DWH, enforced by security guys. 3. Credit scoring models development, reducing scoring costs by half: A Fintech company was looking for software to build an internal credit score. They were considering SAS, SPSS, and other software. I proposed to them to build a scoring model using the free R-project, and I was hired immediately. Have joined applications and credit histories data and built scoring models using logistic regression. After the AB test with underwriters, the model proved its efficiency and was deployed in production. We stopped paying for credit scores from 3d party provider reducing scoring costs by 2 times. 4. I was optimizing the legal collection process for a bank. The overall collection process starts with contacting the debtor and discussing the payment plan. If the debtor is unavailable or refuses to pay, the legal collection process starts. Lawyers fill in applications for the Magistrates’ court, paying some court fees. The court may decline the application if it reaches the court too late due to the statute of limitations or take the debtor’s side. Even a won case does not guarantee the debtor will pay. He might decide to file for bankruptcy. Given the high number of debts and fees involved in the court applications, legal collection is a costly process. Multiple outcomes make this process manually unpredictable. I was tasked with building a collection scoring model to filter those debts that are worth taking legal actions. I have pulled information on 100K debts that went through the legal collection process past 3 years. My target variable was the sum of payments after legal actions minus legal fees. I have tried many predictor variables, and the most informative were: • debt amount - the higher the debt, the higher the payment amount is expected • days past due - the higher the DPD, the higher the chances of hitting the statute of limitations • debotr’s region - courts' practices vary across the country, with some courts taking debtors’ side more often Once the model has been built, we applied it to the current debts in the legal process and found out that only 30% of debts are worth taking to court. The rest 70% could be sold to collection agencies. The legal collection scoring model helped to understand: • the factors that drive collection profits • automate manual decisions • increase collection profits • clear debts balances, selling them to professional collection agencies 𝙏𝙤𝙤𝙡𝙗𝙤𝙭 • ETL/Data Warehouse: SQL, dbt, Python, Redshift, BigQuery, SAS • Data sources: Shopify, GA4, Google Ads, Meta Ads • Analytics dashboards: Looker Studio, Looker, Power BI, Excel, Google Sheets • Finance math: ROAS, Gross margin, LTV, Cash Recovery • Data Science and ML: Credit Scoring and payments forecasting • Cloud tech: AWS, GCP, Docker • Technical writing: Business Proposal, Product Description, User's Guide, Installation Guide • Project management: Agile / Scrum Let's connect to discuss the details.

Experienced Full Stack Developer with 15 years in the industry and high-level proficiency in: - Dart (Flutter) - JavaScript (Vanilla, Vue, Angular, Node.js) - PHP (Vanilla, WordPress, Laravel) - MongoDB - MySQL - CSS - Utilizing Cloud Services - Firebase (cost-optimized approach) I am very familiar with Web and Mobile App Architecture. Have worked with a good number of successful development teams but also carried out a lot of projects alone as I have a keen eye for design paired with expertise in Adobe Photoshop and Illustrator. So I can produce good graphic design and implement it myself. I enjoy turning problems into practical solutions. My creative and logical brain waves are in sync, so I learn things by storing and connecting functional patterns in a visual context. A lot of experience brought many patterns to the table, so now when I learn new things I can guess key points, learn all about them and instantly connect the rest. Every time I repeat something, I try to make some optimizations, so my quest for perfection is a never-ending process.

I am an accomplished attorney, researcher, and data analyst. Currently leading a team at my own company named as Lex Fox Consultancy, located in Podgorica, Montenegro. Before I served as a Research Assistant at Istanbul Kültür University Faculty of Law for 7 years, I contributed to both academic and institutional development through course support, lecturing, and organizing significant academic events. In my legal practice, I provide strategic legal solutions, specializing in client advocacy, legal research, and case management. My academic journey has led me to pursue a Ph.D. focusing on "Neurorights," further building on my master's thesis exploring Queer Legal Theory. I have actively engaged in international research, having been a Visiting Research Fellow at the T.M.C. Asser Institute in Amsterdam, where I presented pioneering work on human rights evolution in Europe. Beyond my academic and legal roles, I am passionate about social justice. As the former Treasurer for the Social Policy, Gender Identity, and Sexual Orientation Studies Association (SPoD), I developed and implemented fundraising strategies for vital social causes. I am also skilled in modern data analysis tools, such as Python and SQL, enabling me to integrate data-driven insights into my work. In addition to my current roles, I am exploring new opportunities as a virtual assistant, a field I am passionate about transitioning into. My versatile skill set, which includes legal research, data analysis, project management, and multilingual capabilities, positions me as an ideal candidate for virtual assistant roles. I am enthusiastic about leveraging my strong organizational and communication skills to support clients in a variety of industries. Fluent in English and proficient in Spanish, I bring a versatile and analytical approach to both legal practice and academic research. I am committed to advancing human rights and equality through both my professional and academic endeavors, while actively seeking to expand my career into virtual assistance.